sstop_words_analyze.ipynb

{
 "cells": [
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   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: nltk in c:\\users\\danil\\appdata\\roaming\\python\\python311\\site-packages (3.8.1)\n",
      "Requirement already satisfied: click in c:\\users\\danil\\appdata\\roaming\\python\\python311\\site-packages (from nltk) (8.1.7)\n",
      "Requirement already satisfied: joblib in c:\\users\\danil\\appdata\\roaming\\python\\python311\\site-packages (from nltk) (1.3.2)\n",
      "Requirement already satisfied: regex>=2021.8.3 in c:\\users\\danil\\appdata\\roaming\\python\\python311\\site-packages (from nltk) (2023.10.3)\n",
      "Requirement already satisfied: tqdm in c:\\python311\\lib\\site-packages (from nltk) (4.66.1)\n",
      "Requirement already satisfied: colorama in c:\\python311\\lib\\site-packages (from click->nltk) (0.4.6)\n",
      "Note: you may need to restart the kernel to use updated packages.\n",
      "Requirement already satisfied: numpy in c:\\python311\\lib\\site-packages (1.26.0)\n",
      "Note: you may need to restart the kernel to use updated packages.\n",
      "Collecting spacey\n",
      "  Downloading spacey-0.1.1-py3-none-any.whl (2.1 kB)\n",
      "Installing collected packages: spacey\n",
      "Successfully installed spacey-0.1.1\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "%pip install nltk\n",
    "%pip install numpy\n",
    "%pip install spacey"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from nltk.tokenize import word_tokenize\n",
    "from nltk.corpus import stopwords"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Original length: 62335\n",
      " Filtered length: 32608\n",
      " Ratio: 0.5231090077805406\n"
     ]
    }
   ],
   "source": [
    "original_len = 0\n",
    "stop_filtered_len = 0\n",
    "stop_words = set(stopwords.words('english')) \n",
    "\n",
    "\n",
    "with open(\"On_Liberty.txt\", encoding=\"utf-8-sig\") as f:\n",
    "    tokens = word_tokenize(f.read())\n",
    "    original_len = len(tokens)\n",
    "    filtered = [w for w in tokens if not w.lower() in stop_words]\n",
    "    stop_filtered_len = len(filtered)\n",
    "\n",
    "print(f\" Original length: {original_len}\\n\",\n",
    "    f\"Filtered length: {stop_filtered_len}\\n\",\n",
    "    f\"Ratio: {stop_filtered_len / original_len}\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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