File size: 1,269 Bytes
e077904 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 |
{
"cells": [
{
"cell_type": "markdown",
"id": "0327aa17",
"metadata": {},
"source": [
"# Data Preprocessing for NLP Project\n",
"\n",
"This notebook contains the data preprocessing steps for our NLP project."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a4c43313",
"metadata": {},
"outputs": [],
"source": [
"# Import necessary libraries\n",
"import pandas as pd\n",
"import numpy as np\n",
"import nltk\n",
"from sklearn.model_selection import train_test_split\n",
"import re\n",
"import string"
]
},
{
"cell_type": "markdown",
"id": "1d4c2a2b",
"metadata": {},
"source": [
"## Load Raw Data\n",
"\n",
"Load the raw data from the data/raw directory."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9b2784d5",
"metadata": {},
"outputs": [],
"source": [
"# Load your raw data here\n",
"df = pd.read_csv('../data/raw/your_dataset.csv')\n",
"print(df.head())"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "base",
"language": "python",
"name": "python3"
},
"language_info": {
"name": "python",
"version": "3.13.5"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
|