notebooks/01_data_exploration.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-24T14:12:50.516308Z",
     "iopub.status.busy": "2026-06-24T14:12:50.516131Z",
     "iopub.status.idle": "2026-06-24T14:12:51.152020Z",
     "shell.execute_reply": "2026-06-24T14:12:51.151577Z"
    }
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import sys\n",
    "import json\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from collections import Counter\n",
    "\n",
    "sys.path.append('..')\n",
    "from src.config import SEMEVAL_TRAIN_PATH, SEMEVAL_TEST_PATH, AMAZON_HINDI_PATH\n",
    "from src.data.lang_detect import detect_language\n",
    "from src.data.transliterate import transliterate\n",
    "from src.data.preprocess import clean"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-24T14:12:51.153207Z",
     "iopub.status.busy": "2026-06-24T14:12:51.153118Z",
     "iopub.status.idle": "2026-06-24T14:12:51.166231Z",
     "shell.execute_reply": "2026-06-24T14:12:51.165906Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SemEval Train Samples: 3501\n",
      "SemEval Test Samples: 1028\n",
      "Amazon Hindi Samples: 1000\n"
     ]
    }
   ],
   "source": [
    "def load_jsonl(path):\n",
    "    data = []\n",
    "    if os.path.exists(path):\n",
    "        with open(path, 'r', encoding='utf-8') as f:\n",
    "            for line in f:\n",
    "                data.append(json.loads(line))\n",
    "    return data\n",
    "\n",
    "semeval_train = load_jsonl(SEMEVAL_TRAIN_PATH)\n",
    "semeval_test = load_jsonl(SEMEVAL_TEST_PATH)\n",
    "amazon_hindi = load_jsonl(AMAZON_HINDI_PATH)\n",
    "\n",
    "print(f\"SemEval Train Samples: {len(semeval_train)}\")\n",
    "print(f\"SemEval Test Samples: {len(semeval_test)}\")\n",
    "print(f\"Amazon Hindi Samples: {len(amazon_hindi)}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Language Distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-24T14:12:51.180251Z",
     "iopub.status.busy": "2026-06-24T14:12:51.180174Z",
     "iopub.status.idle": "2026-06-24T14:12:52.207752Z",
     "shell.execute_reply": "2026-06-24T14:12:52.207387Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "all_data = semeval_train + semeval_test + amazon_hindi\n",
    "languages = [x['language'] for x in all_data]\n",
    "lang_counts = pd.Series(languages).value_counts()\n",
    "\n",
    "plt.figure(figsize=(6, 6))\n",
    "plt.pie(lang_counts.values, labels=lang_counts.index, autopct='%1.1f%%', startangle=140)\n",
    "plt.title('Language Distribution Across All Datasets')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Sentiment Class Distribution per Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-24T14:12:52.209002Z",
     "iopub.status.busy": "2026-06-24T14:12:52.208935Z",
     "iopub.status.idle": "2026-06-24T14:12:52.265999Z",
     "shell.execute_reply": "2026-06-24T14:12:52.265716Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "semeval_sentiments = []\n",
    "for s in semeval_train + semeval_test:\n",
    "    for aspect in s['aspect_terms']:\n",
    "        semeval_sentiments.append(aspect['polarity'])\n",
    "        \n",
    "hindi_sentiments = [x.get('label') for x in amazon_hindi if x.get('label')]\n",
    "\n",
    "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 5))\n",
    "pd.Series(semeval_sentiments).value_counts().plot(kind='bar', ax=ax1, title='SemEval Polarity Distribution')\n",
    "pd.Series(hindi_sentiments).value_counts().plot(kind='bar', ax=ax2, title='Amazon Hindi Polarity Distribution')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Average Review Length by Language"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-24T14:12:52.267083Z",
     "iopub.status.busy": "2026-06-24T14:12:52.267032Z",
     "iopub.status.idle": "2026-06-24T14:12:52.303632Z",
     "shell.execute_reply": "2026-06-24T14:12:52.303344Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = pd.DataFrame(all_data)\n",
    "df['length'] = df['text'].apply(lambda x: len(x.split()))\n",
    "avg_len = df.groupby('language')['length'].mean()\n",
    "avg_len.plot(kind='bar', title='Average Review Length (words) by Language', ylabel='Words')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Aspect Term Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-24T14:12:52.304664Z",
     "iopub.status.busy": "2026-06-24T14:12:52.304609Z",
     "iopub.status.idle": "2026-06-24T14:12:52.355006Z",
     "shell.execute_reply": "2026-06-24T14:12:52.354686Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "aspects = []\n",
    "for s in semeval_train + semeval_test:\n",
    "    for asp in s['aspect_terms']:\n",
    "        aspects.append(asp['term'])\n",
    "\n",
    "top_20 = Counter(aspects).most_common(20)\n",
    "top_20_df = pd.DataFrame(top_20, columns=['Aspect Term', 'Count'])\n",
    "top_20_df.set_index('Aspect Term').plot(kind='bar', figsize=(10, 5), title='Top 20 Aspect Terms in SemEval')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Sample Hinglish Reviews Transliteration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-24T14:12:52.356020Z",
     "iopub.status.busy": "2026-06-24T14:12:52.355967Z",
     "iopub.status.idle": "2026-06-24T14:12:52.358179Z",
     "shell.execute_reply": "2026-06-24T14:12:52.357798Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Original: Phone bahut badhiya hai, लेकिन battery is bad.\n",
      "Transliterated: Phone bahut badhiya hai, ेिन battery is bad.\n",
      "--------------------------------------------------\n",
      "Original: I love this! मुझे यह पसंद है\n",
      "Transliterated: I love this! ुे यह पसंद ै\n",
      "--------------------------------------------------\n",
      "Original: Screen quality accha hai but sound thik thak hai.\n",
      "Transliterated: Screen quality achha hai but sound thik thak hai.\n",
      "--------------------------------------------------\n",
      "Original: Camera theek hai, photo accha aata hai.\n",
      "Transliterated: Camera theek hai, photo achha aata hai.\n",
      "--------------------------------------------------\n",
      "Original: Service bahut slow hai, completely disappointed.\n",
      "Transliterated: Service bahut slow hai, completely disappointed.\n",
      "--------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "hinglish_samples = [\n",
    "    \"Phone bahut badhiya hai, लेकिन battery is bad.\",\n",
    "    \"I love this! मुझे यह पसंद है\",\n",
    "    \"Screen quality accha hai but sound thik thak hai.\",\n",
    "    \"Camera theek hai, photo accha aata hai.\",\n",
    "    \"Service bahut slow hai, completely disappointed.\"\n",
    "]\n",
    "\n",
    "for text in hinglish_samples:\n",
    "    print(f\"Original: {text}\")\n",
    "    print(f\"Transliterated: {transliterate(text, 'hinglish')}\")\n",
    "    print(\"-\" * 50)"
   ]
  }
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