{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Word Embeddings\n",
    "\n",
    "## Notebook for Assignment 2 of the \"Text as Data\" Course\n",
    "\n",
    "**Assignment: Word Embeddings and Vector Space Arithmetic**\n",
    "\n",
    "### Purpose\n",
    "The purpose of this assignment is to familiarize you with word embeddings and demonstrate how they can represent words in a vector space. You will gain experience performing arithmetic operations on word vectors and explore how these operations capture semantic relationships between words.\n",
    "\n",
    "Word embeddings are powerful tools in Natural Language Processing (NLP) that map words to high-dimensional vectors based on their contexts within a corpus. These vectors encapsulate semantic meanings and relationships, allowing for mathematical operations that reflect linguistic analogies and similarities.\n",
    "\n",
    "In this assignment, you will:\n",
    "\n",
    "1. **Understanding Word Embeddings**  \n",
    "   - Learn how word embeddings represent semantic meaning.\n",
    "\n",
    "2. **Vector Arithmetic with Word Embeddings**  \n",
    "   - Use vector operations to explore word relationships (e.g., _king_ - _man_ + _woman_ ≈ _queen_).\n",
    "\n",
    "3. **Identifying Latent Topics in Text**  \n",
    "   - Apply word embeddings to uncover underlying topics in a corpus.\n",
    "\n",
    "4. **Reflections on Word Embeddings in Campaign Language**  \n",
    "   - Analyze how word embeddings can enhance a presidential campaign’s language strategy.\n",
    "\n",
    "**Note:** The code in this notebook is not designed to automatically complete all the assignments. You may need to rearrange and supplement the code to arrive at solutions. Additionally, keep in mind that you are not obligated to use the provided code. You are welcome to write your own code or approach the exercises in a more reflective and analytical manner."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import necessary libraries\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "\n",
    "# Natural Language Processing libraries\n",
    "import nltk\n",
    "from nltk.tokenize import word_tokenize\n",
    "from nltk.corpus import stopwords\n",
    "\n",
    "# Other basic libraries\n",
    "import string\n",
    "import os\n",
    "from scipy import spatial\n",
    "\n",
    "# For stemming or lemmatization (optional)\n",
    "from nltk.stem import PorterStemmer\n",
    "from nltk.stem import WordNetLemmatizer\n",
    "\n",
    "# Import necessary libraries\n",
    "import gensim\n",
    "from gensim.models import Word2Vec\n",
    "import gensim.downloader as api\n",
    "\n",
    "# Import ml libraries\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn.manifold import TSNE\n",
    "\n",
    "# Download NLTK data files (only need to run once)\n",
    "#nltk.download('punkt')\n",
    "#nltk.download('stopwords')\n",
    "#nltk.download('wordnet')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  president  year                                               text\n",
      "0     Adams  1797  Gentlemen of the Senate and Gentlemen of the H...\n",
      "1     Adams  1798  Gentlemen of the Senate and Gentlemen of the H...\n",
      "2     Adams  1799  Gentlemen of the Senate and Gentlemen of the H...\n",
      "3     Adams  1800  Gentlemen of the Senate and Gentlemen of the H...\n",
      "4     Adams  1825  Fellow Citizens of the Senate and of the House...\n"
     ]
    }
   ],
   "source": [
    "# Load the dataset (adjust the file path as needed)\n",
    "\n",
    "# Define the path to your speech files\n",
    "speech_directory = 'data/sotu/'  # Replace with your actual path\n",
    "\n",
    "# Get a list of all .txt files in the directory\n",
    "speech_files = [f for f in os.listdir(speech_directory) if f.endswith('.txt')]\n",
    "\n",
    "# Initialize lists to store data\n",
    "presidents = []\n",
    "years = []\n",
    "texts = []\n",
    "\n",
    "# Loop through each file and extract data\n",
    "for filename in speech_files:\n",
    "    # Extract president and year from the filename\n",
    "    name_year = filename.replace('.txt', '')\n",
    "    try:\n",
    "        president, year = name_year.rsplit('_', 1)\n",
    "    except ValueError:\n",
    "        # Handle files that do not follow the expected naming convention\n",
    "        print(f\"Filename '{filename}' does not match the expected format.\")\n",
    "        continue\n",
    "    \n",
    "    # Read the text content of the file\n",
    "    with open(os.path.join(speech_directory, filename), 'r', encoding='utf-8') as file:\n",
    "        text = file.read()\n",
    "    \n",
    "    # Append the data to the lists\n",
    "    presidents.append(president)\n",
    "    years.append(int(year))\n",
    "    texts.append(text)\n",
    "\n",
    "# Create a DataFrame from the lists\n",
    "data = pd.DataFrame({\n",
    "    'president': presidents,\n",
    "    'year': years,\n",
    "    'text': texts\n",
    "})\n",
    "\n",
    "# Preview the DataFrame\n",
    "print(data.head())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "      <th>tokens</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Gentlemen of the Senate and Gentlemen of the H...</td>\n",
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       "      <td>Gentlemen of the Senate and Gentlemen of the H...</td>\n",
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       "      <th>3</th>\n",
       "      <td>Gentlemen of the Senate and Gentlemen of the H...</td>\n",
       "      <td>[gentleman, senate, gentleman, house, represen...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Fellow Citizens of the Senate and of the House...</td>\n",
       "      <td>[fellow, citizen, senate, house, representativ...</td>\n",
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       "  </tbody>\n",
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      "text/plain": [
       "                                                text  \\\n",
       "0  Gentlemen of the Senate and Gentlemen of the H...   \n",
       "1  Gentlemen of the Senate and Gentlemen of the H...   \n",
       "2  Gentlemen of the Senate and Gentlemen of the H...   \n",
       "3  Gentlemen of the Senate and Gentlemen of the H...   \n",
       "4  Fellow Citizens of the Senate and of the House...   \n",
       "\n",
       "                                              tokens  \n",
       "0  [gentleman, senate, gentleman, house, represen...  \n",
       "1  [gentleman, senate, gentleman, house, represen...  \n",
       "2  [gentleman, senate, gentleman, house, represen...  \n",
       "3  [gentleman, senate, gentleman, house, represen...  \n",
       "4  [fellow, citizen, senate, house, representativ...  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Data Preprocessing\n",
    "# Initialize stop words and punctuation\n",
    "stop_words = set(stopwords.words('english'))\n",
    "punctuations = set(string.punctuation)\n",
    "\n",
    "# Initialize stemmer or lemmatizer (choose one)\n",
    "stemmer = PorterStemmer()\n",
    "lemmatizer = WordNetLemmatizer()\n",
    "\n",
    "# Define a preprocessing function\n",
    "def preprocess_text(text, use_stemming=False, use_lemmatization=False):\n",
    "    # Convert text to lowercase\n",
    "    text = text.lower()\n",
    "    # Tokenize the text into words\n",
    "    tokens = word_tokenize(text)\n",
    "    # Remove punctuation from each token and remove tokens that are punctuation\n",
    "    tokens = [word for word in tokens if word not in punctuations]\n",
    "    # Remove stop words\n",
    "    tokens = [word for word in tokens if word not in stop_words]\n",
    "    # Optionally perform stemming or lemmatization\n",
    "    if use_stemming:\n",
    "        tokens = [stemmer.stem(word) for word in tokens]\n",
    "    elif use_lemmatization:\n",
    "        tokens = [lemmatizer.lemmatize(word) for word in tokens]\n",
    "    return tokens\n",
    "\n",
    "# Apply the preprocessing function to the 'text' column\n",
    "data['tokens'] = data['text'].apply(lambda x: preprocess_text(x, use_stemming=False, use_lemmatization=True))\n",
    "# No stemming or lemmatization\n",
    "#data['text'].apply(lambda x: x.split(' '))\n",
    "\n",
    "# Display the first few rows with the new 'tokens' column\n",
    "data[['text', 'tokens']].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Original Text:\n",
      "\n",
      "Gentlemen of the Senate and Gentlemen of the House of Representatives:\n",
      "\n",
      "I was for some time apprehensive that it would be necessary, on account of\n",
      "the contagious sickness which afflicted the city of Philadelphia, to\n",
      "convene the National Legislature at some other place. This measure it was\n",
      "desirable to avoid, because it would occasion much public inconvenience and\n",
      "a considerable public expense and add to the calamities of the inhabitants\n",
      "of this city, whose sufferings must have excited the sympat\n",
      "\n",
      "Preprocessed Tokens:\n",
      "\n",
      "['gentleman', 'senate', 'gentleman', 'house', 'representative', 'time', 'apprehensive', 'would', 'necessary', 'account', 'contagious', 'sickness', 'afflicted', 'city', 'philadelphia', 'convene', 'national', 'legislature', 'place', 'measure', 'desirable', 'avoid', 'would', 'occasion', 'much', 'public', 'inconvenience', 'considerable', 'public', 'expense', 'add', 'calamity', 'inhabitant', 'city', 'whose', 'suffering', 'must', 'excited', 'sympathy', 'fellow', 'citizen', 'therefore', 'taking', 'measure', 'ascertain', 'state', 'decline', 'sickness', 'postponed', 'determination']\n"
     ]
    }
   ],
   "source": [
    "# Example: View the tokens for the first speech\n",
    "print(\"Original Text:\\n\")\n",
    "print(data['text'].iloc[0][:500])  # Show first 500 characters\n",
    "print(\"\\nPreprocessed Tokens:\\n\")\n",
    "print(data['tokens'].iloc[0][:50])  # Show first 50 tokens"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.decomposition import TruncatedSVD\n",
    "\n",
    "def compute_svd_embeddings(pmi_matrix, embedding_dim=50):\n",
    "    svd = TruncatedSVD(n_components=embedding_dim)\n",
    "    embeddings = svd.fit_transform(pmi_matrix)\n",
    "    return embeddings"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **Part 1: Training Word Embeddings**\n",
    "\n",
    "**A. Training Your Own Word Embeddings:**\n",
    "- Use a library like **gensim** to train your own Word2Vec model on the prepared corpus.\n",
    "- **Set training parameters:**\n",
    "  - **Vector Size:** Choose the dimensionality of the word vectors (e.g., 100, 200).\n",
    "  - **Window Size:** Set the context window size (e.g., 5 words before and after).\n",
    "  - **Minimum Word Frequency:** Ignore words that appear less than a certain number of times.\n",
    "- Discuss why you chose these parameters.\n",
    "\n",
    "**B. The Effect of Pre-processing:**\n",
    "- Re-do the analysis from section A, but now apply the model to the original corpus.\n",
    "- Select five words that are present in both datasets (original and preprocessed). Compute the cosine similarity between these words for each of the two model estimates. This will give a five-by-five table with cosine similarities for each model. How similar or different are these tables across the two model estimates? Reflect upon your findings.\n",
    "\n",
    "**C. Using Pre-trained Word Embeddings:**\n",
    "- If training your own embeddings is computationally intensive, you may use pre-trained embeddings like **GloVe** or **Word2Vec Google News vectors**.\n",
    "- **Loading Pre-trained Embeddings:**\n",
    "  - Download the pre-trained model.\n",
    "  - Use gensim or another library to load the embeddings into your workspace.\n",
    "- Re-do the comparison from section B using the pre-trained embeddings. How similar or different are these tables across the two model estimates? Reflect upon your findings.\n",
    "\n",
    "**D. Word Embeddings from PMI Matrix:**\n",
    "- Use either the pre-processed or original corpus and construct the PMI matrix. Based on this matrix, perform a Singular Value Decomposition to obtain the word embeddings.\n",
    "- Re-do the comparison from section B using the embeddings obtained from the PMI matrix. How similar or different are these tables across the model estimates? Reflect upon your findings."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training parameters:\n",
      "Vector Size: 100\n",
      "Window Size: 5\n",
      "Minimum Word Count: 2\n"
     ]
    }
   ],
   "source": [
    "# A. Training Your Own Word Embeddings\n",
    "\n",
    "# Set training parameters\n",
    "vector_size = 100  # Dimensionality of the word vectors\n",
    "window_size = 5    # Context window size\n",
    "min_word_count = 2  # Minimum word frequency to include\n",
    "workers = 4        # Number of worker threads to train the model\n",
    "\n",
    "print(f\"Training parameters:\\nVector Size: {vector_size}\\nWindow Size: {window_size}\\nMinimum Word Count: {min_word_count}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4063486, 4387290)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Train the Word2Vec Model\n",
    "\n",
    "# Build the Word2Vec model\n",
    "w2v_model = Word2Vec(\n",
    "    sentences=data['tokens'],\n",
    "    vector_size=vector_size,\n",
    "    window=window_size,\n",
    "    min_count=min_word_count,\n",
    "    workers=workers,\n",
    "    sg=1,  # Use skip-gram; set to 0 for CBOW\n",
    "    epochs=5  # Number of iterations (epochs) over the corpus\n",
    ")\n",
    "\n",
    "# Build vocabulary and train the model\n",
    "w2v_model.build_vocab(data['tokens'], progress_per=1000)\n",
    "w2v_model.train(data['tokens'], total_examples=w2v_model.corpus_count, epochs=w2v_model.epochs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save the model for future use\n",
    "w2v_model.save('word2vec_state_of_union.model')\n",
    "\n",
    "# To load the model later:\n",
    "# w2v_model = Word2Vec.load('word2vec_state_of_union.model')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Top 10 words similar to 'economy':\n",
      "healthy: 0.6744\n",
      "productivity: 0.6658\n",
      "competitive: 0.6635\n",
      "dynamic: 0.6587\n",
      "agenda: 0.6521\n",
      "peacetime: 0.6515\n",
      "sector: 0.6505\n",
      "faster: 0.6464\n",
      "stagnation: 0.6432\n",
      "reconversion: 0.6396\n"
     ]
    }
   ],
   "source": [
    "# Find top 10 words most similar to 'economy'\n",
    "similar_words = w2v_model.wv.most_similar('economy', topn=10)\n",
    "print(\"Top 10 words similar to 'economy':\")\n",
    "for word, score in similar_words:\n",
    "    print(f\"{word}: {score:.4f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[==================================================] 100.0% 128.1/128.1MB downloaded\n",
      "'economy' is in the pre-trained GloVe model.\n"
     ]
    }
   ],
   "source": [
    "# C. Using Pre-trained Word Embeddings\n",
    "#  Load GloVe Embeddings into gensim\n",
    "\n",
    "# Alternatively, use gensim's downloader to get pre-trained embeddings\n",
    "# For example, to load the 'glove-wiki-gigaword-100' embeddings:\n",
    "w2v_glove = api.load('glove-wiki-gigaword-100')\n",
    "\n",
    "# Check if a word is in the vocabulary\n",
    "word = 'economy'\n",
    "if word in w2v_glove.key_to_index:\n",
    "    print(f\"'{word}' is in the pre-trained GloVe model.\")\n",
    "else:\n",
    "    print(f\"'{word}' is not in the pre-trained GloVe model.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Top 10 words similar to 'economy' in GloVe embeddings:\n",
      "economic: 0.8279\n",
      "growth: 0.7947\n",
      "recession: 0.7692\n",
      "economies: 0.7545\n",
      "recovery: 0.7491\n",
      "downturn: 0.7462\n",
      "slowdown: 0.7368\n",
      "slowing: 0.7281\n",
      "sector: 0.7247\n",
      "crisis: 0.7136\n"
     ]
    }
   ],
   "source": [
    "# Find words similar to 'economy' using pre-trained GloVe embeddings\n",
    "similar_words_glove = w2v_glove.most_similar('economy', topn=10)\n",
    "print(\"Top 10 words similar to 'economy' in GloVe embeddings:\")\n",
    "for word, score in similar_words_glove:\n",
    "    print(f\"{word}: {score:.4f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **Part 2: Exploring Vector Space Arithmetic**\n",
    "\n",
    "**E. Word Analogy Tasks:**\n",
    "\n",
    "Use the pre-trained model and:\n",
    "\n",
    "- **Perform arithmetic operations** on word vectors to explore semantic relationships.\n",
    "  - Example: `vector('king') - vector('man') + vector('woman') ≈ vector('queen')`\n",
    "- Choose at least **three** word analogies relevant to your corpus or of personal interest.\n",
    "- **Document your findings:**\n",
    "  - Show the computed vectors.\n",
    "  - Use similarity measures (e.g., cosine similarity) to find the closest word vectors.\n",
    "  - Discuss whether the expected relationships hold.\n",
    "\n",
    "**F. Nearest Neighbors:**\n",
    "\n",
    "- For a set of chosen words, find their **most similar words** based on cosine similarity.\n",
    "- **Analyze the results:**\n",
    "  - Do the similar words make sense semantically?\n",
    "  - Are there any unexpected words? Why might they have appeared?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Our Word2Vec Model\n",
    "#w2v_model = Word2Vec.load('word2vec_state_of_union.model')\n",
    "\n",
    "# Load the GloVe model with 100-dimensional vectors\n",
    "w2v_model = api.load('glove-wiki-gigaword-100')\n",
    "\n",
    "# Alternatively, load Word2Vec Google News model (if available)\n",
    "# w2v_model = api.load('word2vec-google-news-300')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Helper functions \n",
    "\n",
    "def cosine_similarity(vec1, vec2):\n",
    "    \"\"\"Compute the cosine similarity between two vectors.\"\"\"\n",
    "    return 1 - spatial.distance.cosine(vec1, vec2)\n",
    "\n",
    "def analogy(word_a, word_b, word_c, model):\n",
    "    \"\"\"\n",
    "    Compute the word analogy: word_a - word_b + word_c = ?\n",
    "    Returns the top 5 most similar words.\n",
    "    \"\"\"\n",
    "    try:\n",
    "        result = model.most_similar(positive=[word_c, word_a], negative=[word_b], topn=5)\n",
    "        return result\n",
    "    except KeyError as e:\n",
    "        print(f\"One of the words is not in the vocabulary: {e}\")\n",
    "        return None\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.36601673171351756"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Simmilarity between two words\n",
    "\n",
    "cosine_similarity(w2v_model.get_vector('economy'), w2v_model.get_vector('water'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Result of 'king' - 'man' + 'woman' = 'queen' with similarity 0.7699\n"
     ]
    }
   ],
   "source": [
    "# Word Analogy: 'king' - 'man' + 'woman' = ?\n",
    "result = w2v_model.most_similar(positive=['woman', 'king'], negative=['man'], topn=1)\n",
    "#print(result)\n",
    "print(f\"Result of 'king' - 'man' + 'woman' = '{result[0][0]}' with similarity {result[0][1]:.4f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analogy: 'america' is to 'american' as 'china' is to '?'\n",
      "asia: 0.7189\n",
      "indonesia: 0.6663\n",
      "japan: 0.6540\n",
      "korea: 0.6335\n",
      "thailand: 0.6313\n"
     ]
    }
   ],
   "source": [
    "# Analogy 1\n",
    "word_a = 'america'\n",
    "word_b = 'american'\n",
    "word_c = 'china'\n",
    "\n",
    "result1 = analogy(word_a, word_b, word_c, w2v_model)\n",
    "\n",
    "print(f\"Analogy: '{word_a}' is to '{word_b}' as '{word_c}' is to '?'\")\n",
    "if result1:\n",
    "    for word, score in result1:\n",
    "        print(f\"{word}: {score:.4f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Analogy: 'president' is to 'leader' as 'congress' is to '?'\n",
      "administration: 0.6796\n",
      "congressional: 0.6711\n",
      "federal: 0.6552\n",
      "legislature: 0.6305\n",
      "senate: 0.6185\n"
     ]
    }
   ],
   "source": [
    "# Analogy 2\n",
    "word_a = 'president'\n",
    "word_b = 'leader'\n",
    "word_c = 'congress'\n",
    "\n",
    "result2 = analogy(word_a, word_b, word_c, w2v_model)\n",
    "\n",
    "print(f\"\\nAnalogy: '{word_a}' is to '{word_b}' as '{word_c}' is to '?'\")\n",
    "if result2:\n",
    "    for word, score in result2:\n",
    "        print(f\"{word}: {score:.4f}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Analogy: 'war' is to 'enemy' as 'economy' is to '?'\n",
      "crisis: 0.7362\n",
      "economic: 0.7279\n",
      "recession: 0.6998\n",
      "turmoil: 0.6676\n",
      "decade: 0.6600\n"
     ]
    }
   ],
   "source": [
    "# Analogy 3\n",
    "word_a = 'war'\n",
    "word_b = 'enemy'\n",
    "word_c = 'economy'\n",
    "\n",
    "result3 = analogy(word_a, word_b, word_c, w2v_model)\n",
    "\n",
    "print(f\"\\nAnalogy: '{word_a}' is to '{word_b}' as '{word_c}' is to '?'\")\n",
    "if result3:\n",
    "    for word, score in result3:\n",
    "        print(f\"{word}: {score:.4f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Top 10 words similar to 'economy':\n",
      "economic: 0.8279\n",
      "growth: 0.7947\n",
      "recession: 0.7692\n",
      "economies: 0.7545\n",
      "recovery: 0.7491\n",
      "downturn: 0.7462\n",
      "slowdown: 0.7368\n",
      "slowing: 0.7281\n",
      "sector: 0.7247\n",
      "crisis: 0.7136\n",
      "\n",
      "Top 10 words similar to 'security':\n",
      "military: 0.7393\n",
      "officials: 0.7230\n",
      "government: 0.7116\n",
      "enforcement: 0.7075\n",
      "police: 0.7055\n",
      "personnel: 0.7048\n",
      "intelligence: 0.6963\n",
      "administration: 0.6912\n",
      "forces: 0.6908\n",
      "civilian: 0.6907\n",
      "\n",
      "Top 10 words similar to 'freedom':\n",
      "freedoms: 0.7784\n",
      "rights: 0.7624\n",
      "democracy: 0.7387\n",
      "liberty: 0.7168\n",
      "independence: 0.7037\n",
      "equality: 0.7003\n",
      "dignity: 0.6816\n",
      "liberties: 0.6801\n",
      "respect: 0.6754\n",
      "free: 0.6615\n"
     ]
    }
   ],
   "source": [
    "# Function to find and print most similar words\n",
    "def print_similar_words(word, model, topn=10):\n",
    "    try:\n",
    "        similar_words = model.most_similar(word, topn=topn)\n",
    "        print(f\"\\nTop {topn} words similar to '{word}':\")\n",
    "        for w, score in similar_words:\n",
    "            print(f\"{w}: {score:.4f}\")\n",
    "    except KeyError:\n",
    "        print(f\"'{word}' is not in the vocabulary.\")\n",
    "\n",
    "# Word 1: 'economy'\n",
    "print_similar_words('economy', w2v_model)\n",
    "\n",
    "# Word 2: 'security'\n",
    "print_similar_words('security', w2v_model)\n",
    "\n",
    "# Word 3: 'freedom'\n",
    "print_similar_words('freedom', w2v_model)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **Part 3: Visualizing Word Embeddings**\n",
    "\n",
    "**G. Dimensionality Reduction:**\n",
    "\n",
    "- Use **Principal Component Analysis (PCA)** or **t-Distributed Stochastic Neighbor Embedding (t-SNE)** to reduce the dimensionality of your word vectors to 2D or 3D.\n",
    "- **Select a subset** of words for visualization (e.g., frequent words, words related to a specific topic).\n",
    "\n",
    "**H. Plotting Word Embeddings:**\n",
    "\n",
    "- Create scatter plots of the reduced word vectors.\n",
    "- **Annotate the plots** with the corresponding words.\n",
    "- **Identify clusters** or groupings of semantically similar words.\n",
    "- Discuss any observable patterns or anomalies in the visualization."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Vector Size: 100\n"
     ]
    }
   ],
   "source": [
    "# Load pre-trained GloVe embeddings (vector size 100)\n",
    "w2v_model = api.load('glove-wiki-gigaword-100')\n",
    "\n",
    "# Check the vector size\n",
    "vector_size = w2v_model.vector_size\n",
    "print(f\"Vector Size: {vector_size}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of words selected for visualization: 200\n"
     ]
    }
   ],
   "source": [
    "# Flatten the list of tokens from all speeches to get all words\n",
    "all_tokens = [token for tokens in data['tokens'] for token in tokens]\n",
    "\n",
    "# Count word frequencies\n",
    "from collections import Counter\n",
    "word_counts = Counter(all_tokens)\n",
    "\n",
    "# Get the most common words\n",
    "most_common_words = [word for word, count in word_counts.most_common(200)]  # Adjust the number as needed\n",
    "\n",
    "# Filter words that are in the pre-trained model's vocabulary\n",
    "words = [word for word in most_common_words if word in w2v_model.key_to_index]\n",
    "\n",
    "print(f\"Number of words selected for visualization: {len(words)}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get the vectors for the selected words\n",
    "word_vectors = [w2v_model[word] for word in words]\n",
    "\n",
    "# Convert to NumPy array\n",
    "word_vectors = np.array(word_vectors)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Explained variance ratio: [0.08278227 0.07003149]\n"
     ]
    }
   ],
   "source": [
    "# Initialize PCA\n",
    "pca = PCA(n_components=2)\n",
    "\n",
    "# Fit and transform the word vectors\n",
    "word_vectors_pca = pca.fit_transform(word_vectors)\n",
    "\n",
    "print(\"Explained variance ratio:\", pca.explained_variance_ratio_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\A1010297\\AppData\\Local\\anaconda3\\envs\\nlp\\Lib\\site-packages\\threadpoolctl.py:1226: RuntimeWarning: \n",
      "Found Intel OpenMP ('libiomp') and LLVM OpenMP ('libomp') loaded at\n",
      "the same time. Both libraries are known to be incompatible and this\n",
      "can cause random crashes or deadlocks on Linux when loaded in the\n",
      "same Python program.\n",
      "Using threadpoolctl may cause crashes or deadlocks. For more\n",
      "information and possible workarounds, please see\n",
      "    https://github.com/joblib/threadpoolctl/blob/master/multiple_openmp.md\n",
      "\n",
      "  warnings.warn(msg, RuntimeWarning)\n"
     ]
    }
   ],
   "source": [
    "# Initialize t-SNE\n",
    "tsne = TSNE(n_components=2, perplexity=5, random_state=42, max_iter=1000)\n",
    "\n",
    "# Fit and transform the word vectors\n",
    "word_vectors_tsne = tsne.fit_transform(word_vectors)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the PCA-Reduced Vectors\n",
    "\n",
    "# Create a DataFrame for plotting\n",
    "df_pca = pd.DataFrame({\n",
    "    'word': words,\n",
    "    'x': word_vectors_pca[:, 0],\n",
    "    'y': word_vectors_pca[:, 1]\n",
    "})\n",
    "\n",
    "# Plotting\n",
    "plt.figure(figsize=(12, 8))\n",
    "sns.scatterplot(data=df_pca, x='x', y='y')\n",
    "\n",
    "# Annotate the points with words\n",
    "for i in range(len(df_pca)):\n",
    "    plt.text(df_pca['x'][i]+0.01, df_pca['y'][i]+0.01, df_pca['word'][i], fontsize=9)\n",
    "\n",
    "plt.title('Word Embeddings Visualized using PCA')\n",
    "plt.xlabel('Principal Component 1')\n",
    "plt.ylabel('Principal Component 2')\n",
    "plt.grid(True)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the t-SNE-Reduced Vectors\n",
    "\n",
    "# Create a DataFrame for plotting\n",
    "df_tsne = pd.DataFrame({\n",
    "    'word': words,\n",
    "    'x': word_vectors_tsne[:, 0],\n",
    "    'y': word_vectors_tsne[:, 1]\n",
    "})\n",
    "\n",
    "# Plotting\n",
    "plt.figure(figsize=(12, 8))\n",
    "sns.scatterplot(data=df_tsne, x='x', y='y')\n",
    "\n",
    "# Annotate the points with words\n",
    "for i in range(len(df_tsne)):\n",
    "    plt.text(df_tsne['x'][i]+0.5, df_tsne['y'][i]+0.5, df_tsne['word'][i], fontsize=9)\n",
    "\n",
    "plt.title('Word Embeddings Visualized using t-SNE')\n",
    "plt.xlabel('Dimension 1')\n",
    "plt.ylabel('Dimension 2')\n",
    "plt.grid(True)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Part 4: Analyzing Changes in Word Meanings Over Time in Presidential Speeches\n",
    "\n",
    "In this part, you'll investigate how the meanings of words have changed over time in presidential speeches. Building on the techniques learned in previous sections, you will focus on identifying and understanding shifts in language. No example code is provided for this section, so you are encouraged to approach the analysis either with your own code or in a more theoretical manner.\n",
    "\n",
    "If you choose not to use code, describe in detail how you would theoretically conduct this analysis and interpret the findings. Also, point to potential difficulties or limitations you might encounter in such an analysis.\n",
    "\n",
    "You can approach the below tasks with some freedom and for this exercise not all subtasks need to be completed or discussed in the final report. The goal is to think critically about how word embeddings can be used to analyze semantic change over time. Importantly, you should address the following questions in the final report:\n",
    "\n",
    "As an advisor to a presidential campaign, how might you use your findings to inform your candidate’s language strategy?\n",
    "\n",
    "\n",
    "#### I. Analyzing Change in Word Meanings Over Time:\n",
    "1. **Comparing Word Meanings in Different Time Periods**  \n",
    "   - Analyze how specific words may have changed in meaning between two distinct time periods (e.g., 1800 -- 1900 and 1900 -- 2000).\n",
    "   - **Possible sub-tasks**:\n",
    "     - Select a set of words that appear in both time periods. Think about words that may have shifted in relevance or context over time.\n",
    "     - If using code, you could calculate word embeddings for each period and compare them to see how the “position” or “meaning” of the words has shifted. If not using code, explain how you might conceptually track these shifts, perhaps by examining the contexts in which these words appear.\n",
    "\n",
    "2. **Measuring Semantic Change**  \n",
    "   - Quantify or describe shifts in word meanings over time.\n",
    "   - **Possible sub-tasks**:\n",
    "     - If using code, you might measure semantic change by calculating the cosine similarity between word vectors for the same word across different periods. \n",
    "     - If you’re approaching this without coding, describe how you would interpret semantic shifts by comparing word associations, synonyms, or themes in each period.\n",
    "\n",
    "### J. Visualizing Semantic Change  \n",
    "- Illustrate the changes in word meanings across time.\n",
    "  - **Possible sub-tasks**:\n",
    "    - For those using code, you might create a plot of word vectors to show shifts in meaning visually. Consider how you might represent a word’s change in “position” on a timeline.\n",
    "    - Without code, think about alternative ways to visualize this change. How would you present or describe a word’s evolving associations across different historical periods?\n",
    "\n",
    "### K. Interpreting Semantic Shifts in Historical Context \n",
    "- Reflect on the broader implications of your findings.\n",
    "  - **Possible sub-tasks**:\n",
    "    - Can you find any words that have undergone significant shifts in meaning, potentially due to societal changes or historical events. Explain why these shifts are significant and how they reflect broader trends.\n",
    "    - If you don’t have results, consider what types of shifts you would expect to find and what historical events or cultural changes might explain these."
   ]
  }
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