3. Spacy vs NLTK.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Sentence & Word Tokennization in Spacy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import spacy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "nlp = spacy.load(\"en_core_web_sm\")\n",
    "doc = nlp(\"Dr. Fahad is a brilliant techer. He is currently on a semmester break.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dr. Fahad is a brilliant techer.\n",
      "He is currently on a semmester break.\n"
     ]
    }
   ],
   "source": [
    "for sentence in doc.sents:\n",
    "    print(sentence)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dr.\n",
      "Fahad\n",
      "is\n",
      "a\n",
      "brilliant\n",
      "techer\n",
      ".\n",
      "He\n",
      "is\n",
      "currently\n",
      "on\n",
      "a\n",
      "semmester\n",
      "break\n",
      ".\n"
     ]
    }
   ],
   "source": [
    "for sentence in doc.sents:\n",
    "    for word in sentence:\n",
    "        print(word)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. Sentence & Word Tokennization in NLTK"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package punkt to\n",
      "[nltk_data]     C:\\Users\\hamza\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package punkt is already up-to-date!\n"
     ]
    },
    {
     "data": {
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       "True"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import nltk\n",
    "from nltk.tokenize import sent_tokenize\n",
    "from nltk.tokenize import word_tokenize\n",
    "nltk.download('punkt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Dr. Fahad is a brilliant techer.', 'He is currently on a semmester break.']"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sent_tokenize(\"Dr. Fahad is a brilliant techer. He is currently on a semmester break.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Dr.',\n",
       " 'Fahad',\n",
       " 'is',\n",
       " 'a',\n",
       " 'brilliant',\n",
       " 'techer',\n",
       " '.',\n",
       " 'He',\n",
       " 'is',\n",
       " 'currently',\n",
       " 'on',\n",
       " 'a',\n",
       " 'semmester',\n",
       " 'break',\n",
       " '.']"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "word_tokenize(\"Dr. Fahad is a brilliant techer. He is currently on a semmester break.\")"
   ]
  }
 ],
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