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      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
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    },
    "language_info": {
      "name": "python"
    }
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  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# Install libraries"
      ],
      "metadata": {
        "id": "GZGM5WmTVzeV"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
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          "base_uri": "https://localhost:8080/"
        },
        "id": "H0bV8ze9om5I",
        "outputId": "ca809358-d33b-4d32-d154-355056597cbb"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: nltk in /usr/local/lib/python3.10/dist-packages (3.8.1)\n",
            "Requirement already satisfied: click in /usr/local/lib/python3.10/dist-packages (from nltk) (8.1.7)\n",
            "Requirement already satisfied: joblib in /usr/local/lib/python3.10/dist-packages (from nltk) (1.3.2)\n",
            "Requirement already satisfied: regex>=2021.8.3 in /usr/local/lib/python3.10/dist-packages (from nltk) (2023.12.25)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from nltk) (4.66.2)\n"
          ]
        }
      ],
      "source": [
        "!pip install nltk\n",
        "!pip install underthesea"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from nltk.tokenize import sent_tokenize\n",
        "import nltk\n",
        "nltk.download('punkt')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yc1UfXivotnp",
        "outputId": "713d51db-f271-48f6-dd8a-f6504777f837"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "[nltk_data] Downloading package punkt to /root/nltk_data...\n",
            "[nltk_data]   Unzipping tokenizers/punkt.zip.\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Load Data"
      ],
      "metadata": {
        "id": "tWTO8IwwC4AZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "data = pd.read_csv('dataset.csv')"
      ],
      "metadata": {
        "id": "7GtRyHrUzc3M"
      },
      "execution_count": 40,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data.tail(10)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 363
        },
        "id": "Luf1GVqgxlcs",
        "outputId": "c524acdf-e20e-4f1d-8704-76772628d062"
      },
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     sentiment                                          vi_review\n",
              "6423  negative                         Cuối tuần đi học áp lực x2\n",
              "6424  positive  cứ phải đi qua những ngày mưa thì mới thấy quý...\n",
              "6425  negative  Kiểu gì cũng phải qua thanh minh thì mới nắng ...\n",
              "6426  negative               Xong tin buồn lại một đợt rét nữa ..\n",
              "6427  positive                                              yeahh\n",
              "6428  positive                                   Nguyễn Nga yeahh\n",
              "6429  positive                                          Thanh Nga\n",
              "6430  negative                     2-3 ngày cũng sắp cởi chuồng r\n",
              "6431  positive                     Ngw Tùng Anh nhanh về quét nhà\n",
              "6432  positive                                      Thích cá haha"
            ],
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              "summary": "{\n  \"name\": \"data\",\n  \"rows\": 10,\n  \"fields\": [\n    {\n      \"column\": \"sentiment\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"positive\",\n          \"negative\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"vi_review\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 10,\n        \"samples\": [\n          \"Ngw T\\u00f9ng Anh nhanh v\\u1ec1 qu\\u00e9t nh\\u00e0\",\n          \"c\\u1ee9 ph\\u1ea3i \\u0111i qua nh\\u1eefng ng\\u00e0y m\\u01b0a th\\u00ec m\\u1edbi th\\u1ea5y qu\\u00fd nh\\u1eefng ng\\u00e0y n\\u1eafng th\\u00e1ng 6 face-with-tears-of-joy  su\\u00fdt 40C \\u00fd\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
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          "metadata": {},
          "execution_count": 41
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      "cell_type": "code",
      "source": [
        "data.shape"
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      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "s72u1Rl0Tbks",
        "outputId": "5a2f5a5e-cbe0-42ba-e02a-dc9b1b8ce61a"
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      "execution_count": 42,
      "outputs": [
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          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(6433, 2)"
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          "metadata": {},
          "execution_count": 42
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      "cell_type": "markdown",
      "source": [
        "# Remove Duplicates"
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      "metadata": {
        "id": "0JJxGSiFTLwC"
      }
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    {
      "cell_type": "code",
      "source": [
        "def remove_duplicates(df):\n",
        "    df.drop_duplicates(subset=['vi_review', 'sentiment'], inplace=True)\n",
        "remove_duplicates(data)"
      ],
      "metadata": {
        "id": "UN6KKdQcTTli"
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      "execution_count": 43,
      "outputs": []
    },
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      "cell_type": "code",
      "source": [
        "data.shape"
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      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
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        "id": "HGPRkjfXTWXD",
        "outputId": "8797a1aa-f091-4449-d1e7-cb6eaea5e90f"
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      "execution_count": 44,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(5363, 2)"
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          },
          "metadata": {},
          "execution_count": 44
        }
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    {
      "cell_type": "markdown",
      "source": [
        "# Lowering the Text"
      ],
      "metadata": {
        "id": "9f-ah2Yi-hak"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data['vi_review']= data['vi_review'].apply(lambda x: x.lower())\n",
        "data.head()"
      ],
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        "id": "yjEnIYxH-obz",
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          "height": 206
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        "outputId": "863aec0c-766d-4c46-d17d-4e2cae86fe7d"
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      "execution_count": 45,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  sentiment                                          vi_review\n",
              "0  positive                                           rất hay \n",
              "1  positive                                          cam on a.\n",
              "2  positive  rất là hay cảm on bạn thumbs-up  thumbs-up  sm...\n",
              "3  positive                                 rất ý nghĩa bạn ơi\n",
              "4  positive  đúng là từng câu, từng chữ từng lời mà cả đời ..."
            ],
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              "      <th>2</th>\n",
              "      <td>positive</td>\n",
              "      <td>rất là hay cảm on bạn thumbs-up  thumbs-up  sm...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>positive</td>\n",
              "      <td>rất ý nghĩa bạn ơi</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>positive</td>\n",
              "      <td>đúng là từng câu, từng chữ từng lời mà cả đời ...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a26260ed-e989-4cc9-92b7-ad295291717f')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-a26260ed-e989-4cc9-92b7-ad295291717f button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-a26260ed-e989-4cc9-92b7-ad295291717f');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-e0178c00-2a0f-4a64-94d5-34ba203507f8\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-e0178c00-2a0f-4a64-94d5-34ba203507f8')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-e0178c00-2a0f-4a64-94d5-34ba203507f8 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "data",
              "summary": "{\n  \"name\": \"data\",\n  \"rows\": 5363,\n  \"fields\": [\n    {\n      \"column\": \"sentiment\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"negative\",\n          \"positive\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"vi_review\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5300,\n        \"samples\": [\n          \"di\\u1ec7u linh face-with-rolling-eyes \",\n          \"\\u00e1p l\\u1ef1c k bi\\u1ebft ph\\u1ea3i l\\u00e0m nh\\u01b0 th\\u1ebf n\\u00e0o.. k ph\\u1ea3i l\\u1edbn l\\u00ean c\\u00f3 \\u0111\\u01b0\\u1ee3c k  slightly-smiling-face \"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Remove URL"
      ],
      "metadata": {
        "id": "ouEa3px6CRwa"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import re\n",
        "def remove_urls(text):\n",
        "    url_pattern = r'https?://\\S+|www\\.\\S+'\n",
        "    clean_text = re.sub(url_pattern, '', text)\n",
        "    return clean_text\n",
        "data['vi_review'] = data['vi_review'].apply(remove_urls)\n",
        "data.head()"
      ],
      "metadata": {
        "id": "GYjxYNgoBI3s",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "outputId": "db94c3db-ca11-42a1-94ac-8c93365bb936"
      },
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  sentiment                                          vi_review\n",
              "0  positive                                           rất hay \n",
              "1  positive                                          cam on a.\n",
              "2  positive  rất là hay cảm on bạn thumbs-up  thumbs-up  sm...\n",
              "3  positive                                 rất ý nghĩa bạn ơi\n",
              "4  positive  đúng là từng câu, từng chữ từng lời mà cả đời ..."
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-cec6acf4-3e32-42a3-a906-c9ab77a408d4\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>sentiment</th>\n",
              "      <th>vi_review</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>positive</td>\n",
              "      <td>rất hay</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>positive</td>\n",
              "      <td>cam on a.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>positive</td>\n",
              "      <td>rất là hay cảm on bạn thumbs-up  thumbs-up  sm...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>positive</td>\n",
              "      <td>rất ý nghĩa bạn ơi</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>positive</td>\n",
              "      <td>đúng là từng câu, từng chữ từng lời mà cả đời ...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-cec6acf4-3e32-42a3-a906-c9ab77a408d4')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-cec6acf4-3e32-42a3-a906-c9ab77a408d4 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-cec6acf4-3e32-42a3-a906-c9ab77a408d4');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-2624aa1e-363b-400f-881c-c85932d7f937\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-2624aa1e-363b-400f-881c-c85932d7f937')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-2624aa1e-363b-400f-881c-c85932d7f937 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "data",
              "summary": "{\n  \"name\": \"data\",\n  \"rows\": 5363,\n  \"fields\": [\n    {\n      \"column\": \"sentiment\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"negative\",\n          \"positive\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"vi_review\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5300,\n        \"samples\": [\n          \"di\\u1ec7u linh face-with-rolling-eyes \",\n          \"\\u00e1p l\\u1ef1c k bi\\u1ebft ph\\u1ea3i l\\u00e0m nh\\u01b0 th\\u1ebf n\\u00e0o.. k ph\\u1ea3i l\\u1edbn l\\u00ean c\\u00f3 \\u0111\\u01b0\\u1ee3c k  slightly-smiling-face \"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Remove Punctuation"
      ],
      "metadata": {
        "id": "_vom_OI81jMD"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import string\n",
        "string.punctuation\n",
        "def remove_punctuation(text):\n",
        "    specific_punctuation = \"~!@#$%^&*?|{}\"\n",
        "    punctuationfree=\"\".join([i for i in text if i not in specific_punctuation])\n",
        "    return punctuationfree\n",
        "data['vi_review']= data['vi_review'].apply(lambda x:remove_punctuation(x))\n",
        "data.head()"
      ],
      "metadata": {
        "id": "vgRZCXd5vrGo",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "outputId": "09835f91-4a55-4977-e976-a132a2fa1d2a"
      },
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  sentiment                                          vi_review\n",
              "0  positive                                           rất hay \n",
              "1  positive                                          cam on a.\n",
              "2  positive  rất là hay cảm on bạn thumbs-up  thumbs-up  sm...\n",
              "3  positive                                 rất ý nghĩa bạn ơi\n",
              "4  positive  đúng là từng câu, từng chữ từng lời mà cả đời ..."
            ],
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              "\n",
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              "  </thead>\n",
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              "      <td>positive</td>\n",
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              "      <td>positive</td>\n",
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              "    <tr>\n",
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              "      <td>positive</td>\n",
              "      <td>rất là hay cảm on bạn thumbs-up  thumbs-up  sm...</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>positive</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>positive</td>\n",
              "      <td>đúng là từng câu, từng chữ từng lời mà cả đời ...</td>\n",
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              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
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              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-adf297b4-1c69-4ecb-b829-a8d0d827777e')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "\n",
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              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-adf297b4-1c69-4ecb-b829-a8d0d827777e button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-adf297b4-1c69-4ecb-b829-a8d0d827777e');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-a5b06bef-bad7-4131-ac89-a2a460ca3db9\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-a5b06bef-bad7-4131-ac89-a2a460ca3db9')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-a5b06bef-bad7-4131-ac89-a2a460ca3db9 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "data",
              "summary": "{\n  \"name\": \"data\",\n  \"rows\": 5363,\n  \"fields\": [\n    {\n      \"column\": \"sentiment\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"negative\",\n          \"positive\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"vi_review\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5296,\n        \"samples\": [\n          \"v\\u00f4 tri d\\u1ecb\",\n          \"vi\\u1ec7t nam. con r\\u1ed3ng kh\\u00e1t v\\u1ecdng v\\u01b0\\u01a1n l\\u00ean, ch\\u00fac cho \\u0111\\u1ea5t n\\u01b0\\u1edbc lu\\u00f4n ho\\u00e0 b\\u00ecnh \\u1ea5m no. nh\\u00e2n d\\u00e2n \\u0111\\u01b0\\u1ee3c h\\u1ea1nh ph\\u00fac  smiling-face-with-hearts  smiling-face-with-hearts  smiling-face-with-hearts  smiling-face-with-hearts \"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 47
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Remove Stopwords"
      ],
      "metadata": {
        "id": "PEn7nHaD5UMl"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import underthesea\n",
        "from underthesea import word_tokenize\n",
        "with open('vietnamese-stopwords.txt', 'r', encoding='utf-8') as file:\n",
        "    stopwords = [name.strip().lower() for name in file]\n",
        "def remove_stopwords_from_text(text):\n",
        "    words = word_tokenize(text)\n",
        "    clean_words = [word for word in words if word.lower() not in stopwords]\n",
        "    return ' '.join(clean_words)\n",
        "\n",
        "data['vi_review'] = data['vi_review'].apply(remove_stopwords_from_text)\n",
        "data.head()"
      ],
      "metadata": {
        "id": "bf5dr0Kr0kZN",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "outputId": "6ee41109-7419-49ec-9d93-a0151c413c23"
      },
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  sentiment                                          vi_review\n",
              "0  positive                                                   \n",
              "1  positive                                         cam on a .\n",
              "2  positive  cảm on thumbs-up thumbs-up smiling-face-with-h...\n",
              "3  positive                                            ý nghĩa\n",
              "4  positive                              câu , chữ đời tâm đắc"
            ],
            "text/html": [
              "\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>positive</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>positive</td>\n",
              "      <td>cam on a .</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>positive</td>\n",
              "      <td>cảm on thumbs-up thumbs-up smiling-face-with-h...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>positive</td>\n",
              "      <td>ý nghĩa</td>\n",
              "    </tr>\n",
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              "      <th>4</th>\n",
              "      <td>positive</td>\n",
              "      <td>câu , chữ đời tâm đắc</td>\n",
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              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-85021224-443b-4115-af91-ae4592415a64')\"\n",
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              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-85021224-443b-4115-af91-ae4592415a64 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-85021224-443b-4115-af91-ae4592415a64');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-e8a087c6-a1d6-45e2-9e30-db6d0c08bcbb\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-e8a087c6-a1d6-45e2-9e30-db6d0c08bcbb')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-e8a087c6-a1d6-45e2-9e30-db6d0c08bcbb button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "data",
              "summary": "{\n  \"name\": \"data\",\n  \"rows\": 5363,\n  \"fields\": [\n    {\n      \"column\": \"sentiment\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"negative\",\n          \"positive\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"vi_review\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4945,\n        \"samples\": [\n          \"iu \\u0111i\",\n          \"ch\\u00fac m\\u1eebng ac m\\u00e3i m\\u00e3i h\\u1ea1nh ph\\u00fac v\\u00eda \\u0111c\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 49
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Privacy Reduction"
      ],
      "metadata": {
        "id": "Qjx1drRbDclF"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from underthesea import word_tokenize\n",
        "\n",
        "def replace_names(sentence, names_list):\n",
        "    words = word_tokenize(sentence)\n",
        "    replaced_words = ['<someone>' if word.lower() in names_list else word for word in words]\n",
        "    replaced_sentence = ' '.join(replaced_words)\n",
        "    return replaced_sentence\n",
        "with open('names.txt', 'r', encoding='utf-8') as file:\n",
        "    names_list = [name.strip().lower() for name in file]\n",
        "data['vi_review'] = data['vi_review'].apply(lambda x: replace_names(x, names_list))\n",
        "# Example\n",
        "sentence = 'Bích Loan nghỉ học'\n",
        "replaced_sentence = replace_names(sentence, names_list)\n",
        "print(replaced_sentence)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8YAkbnftnaxj",
        "outputId": "166852da-08cf-436c-b726-1edb5885698f"
      },
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<someone> nghỉ học\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.head(5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "vpjwBkaCwZdL",
        "outputId": "0990a728-363b-4572-9afa-186f78f0a3f0"
      },
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  sentiment                                          vi_review\n",
              "0  positive                                                   \n",
              "1  positive                                         cam on a .\n",
              "2  positive  cảm on thumbs-up thumbs-up smiling-face-with-h...\n",
              "3  positive                                            ý nghĩa\n",
              "4  positive                              câu , chữ đời tâm đắc"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-3d4c5f48-8139-4d9e-ac1c-e9b2020a380c\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>sentiment</th>\n",
              "      <th>vi_review</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>positive</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>positive</td>\n",
              "      <td>cam on a .</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>positive</td>\n",
              "      <td>cảm on thumbs-up thumbs-up smiling-face-with-h...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>positive</td>\n",
              "      <td>ý nghĩa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>positive</td>\n",
              "      <td>câu , chữ đời tâm đắc</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3d4c5f48-8139-4d9e-ac1c-e9b2020a380c')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-3d4c5f48-8139-4d9e-ac1c-e9b2020a380c button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-3d4c5f48-8139-4d9e-ac1c-e9b2020a380c');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-5debc4e2-4ab1-4005-a9aa-5342e171605c\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-5debc4e2-4ab1-4005-a9aa-5342e171605c')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-5debc4e2-4ab1-4005-a9aa-5342e171605c button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "data",
              "summary": "{\n  \"name\": \"data\",\n  \"rows\": 5363,\n  \"fields\": [\n    {\n      \"column\": \"sentiment\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"negative\",\n          \"positive\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"vi_review\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4942,\n        \"samples\": [\n          \"iu \\u0111i\",\n          \"ch\\u00fac m\\u1eebng ac m\\u00e3i m\\u00e3i h\\u1ea1nh ph\\u00fac v\\u00eda \\u0111c\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 51
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "data.replace('', np.nan, inplace=True)\n",
        "data.dropna(subset=['vi_review'], inplace=True)\n",
        "data = data.reset_index(drop=True)"
      ],
      "metadata": {
        "id": "cgTuUcI3wdvu"
      },
      "execution_count": 52,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data.head(10)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 363
        },
        "id": "dV6lDxyhytiZ",
        "outputId": "2a643e5e-164f-407a-8c66-454350437b99"
      },
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  sentiment                                          vi_review\n",
              "0  positive                                         cam on a .\n",
              "1  positive  cảm on thumbs-up thumbs-up smiling-face-with-h...\n",
              "2  positive                                            ý nghĩa\n",
              "3  positive                              câu , chữ đời tâm đắc\n",
              "4  positive                                                 ah\n",
              "5  positive  tuyệt vời . câu chuyện tích cực smiling-face-w...\n",
              "6  positive                                              ấm áp\n",
              "7  positive                               cám ơn đẹp tuyệt vời\n",
              "8  positive  tuyệt vời lắm cám ơn nha smiling-face-with-hea...\n",
              "9  positive  smiling-face-with-hearts smiling-face-with-hea..."
            ],
            "text/html": [
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "        document.querySelector('#df-9ffc32c5-3366-4cbe-b06e-0f50f5f1b2a2 button.colab-df-convert');\n",
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              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-9ffc32c5-3366-4cbe-b06e-0f50f5f1b2a2');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "\n",
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              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
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              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
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              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
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              "      border-left-color: var(--fill-color);\n",
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              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-fd141468-ed03-45af-ba5d-3410da5b0e2a button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "data",
              "summary": "{\n  \"name\": \"data\",\n  \"rows\": 5285,\n  \"fields\": [\n    {\n      \"column\": \"sentiment\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"negative\",\n          \"positive\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"vi_review\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4941,\n        \"samples\": [\n          \"dep grinning-squinting-face grinning-squinting-face grinning-squinting-face grinning-squinting-face\",\n          \"l\\u01b0\\u01a1ngqu\\u1ef3nh singlemom smiling-face-with-hearts 2 k e a .. red-heart red-heart red-heart\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 53
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qi6ApPRkyu58",
        "outputId": "e5327013-4a83-49cc-c7f3-ea65752ec1d3"
      },
      "execution_count": 54,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(5285, 2)"
            ]
          },
          "metadata": {},
          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Save the Dataset"
      ],
      "metadata": {
        "id": "xwNwrYKjWM0K"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data.to_csv('dataset.csv')"
      ],
      "metadata": {
        "id": "WXR6gnSbzdLT"
      },
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Visualize Data"
      ],
      "metadata": {
        "id": "5SPjvUxf4Poe"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.read_csv('dataset.csv')"
      ],
      "metadata": {
        "id": "QtpqlDi_y_uP"
      },
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns"
      ],
      "metadata": {
        "id": "GfLJkx0L00tY"
      },
      "execution_count": 33,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Bar chart\n",
        "plt.figure(figsize=(6, 4))\n",
        "sns.countplot(x='sentiment', data=df)\n",
        "plt.title('Number of comments by sentiment')\n",
        "plt.xlabel('Sentiment')\n",
        "plt.ylabel('Count')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 410
        },
        "id": "C9DvSAIXz-My",
        "outputId": "d232e69f-ebed-4221-f35c-35097fcca935"
      },
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 600x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Pie chart\n",
        "plt.figure(figsize=(6, 6))\n",
        "df['sentiment'].value_counts().plot(kind='pie', autopct='%1.1f%%')\n",
        "plt.title('Distribution of sentiment')\n",
        "plt.ylabel('')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 521
        },
        "id": "Dk9OCn_109jQ",
        "outputId": "d2565a0a-0121-4db3-f8b8-0427dc205586"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 600x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Word Cloud\n",
        "from wordcloud import WordCloud\n",
        "\n",
        "positive_reviews = ' '.join(df[df['sentiment'] == 'positive']['vi_review'])\n",
        "wordcloud = WordCloud(width=800, height=400, background_color ='white').generate(positive_reviews)\n",
        "\n",
        "plt.figure(figsize=(10, 5))\n",
        "plt.imshow(wordcloud, interpolation='bilinear')\n",
        "plt.title('Word Cloud of positive comments')\n",
        "plt.axis('off')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 444
        },
        "id": "eXd058Pl1YyD",
        "outputId": "c19821b8-c276-4a79-973a-23bdcb7ce7ed"
      },
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Histogram of comment lengths\n",
        "df['length'] = df['vi_review'].apply(len)\n",
        "plt.figure(figsize=(8, 6))\n",
        "sns.histplot(data=df, x='length', hue='sentiment', kde=True, bins=20)\n",
        "plt.title('Distribution of comment lengths by sentiment')\n",
        "plt.xlabel('Length of comment')\n",
        "plt.ylabel('Count')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "em8zJHe71aY4",
        "outputId": "861f5c54-dadc-45d9-e2b3-607fbae14b9d"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}