{
  "cells": [
    {
      "cell_type": "markdown",
      "id": "8db8d219",
      "metadata": {
        "id": "8db8d219"
      },
      "source": [
        "# Assignment 10 - NLP with Deep Learning\n",
        "**Modernized for 2025**  \n",
        "*All original tasks using current best practices*\n",
        "\n",
        "## Why This Matters\n",
        "This assignment gives you hands-on experience with:\n",
        "- How machines represent word meaning (embeddings)\n",
        "- Modern text classification techniques\n",
        "- Comparing rule-based vs learned approaches\n",
        "- The power of multilingual transformers\n",
        "\n",
        "## Environment Setup\n",
        "*Optimized for Colab - minimal installations*"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "id": "98870bee",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "98870bee",
        "outputId": "f91965a4-aef1-4be4-c6c2-38e456d6a69f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Torch: 2.6.0+cu124\n",
            "Transformers: 4.50.3\n",
            "Datasets: 3.5.0\n"
          ]
        }
      ],
      "source": [
        "!pip install -q nltk gensim\n",
        "try:\n",
        "    import torch, transformers, datasets\n",
        "    print(f\"Torch: {torch.__version__}\")\n",
        "    print(f\"Transformers: {transformers.__version__}\")\n",
        "    print(f\"Datasets: {datasets.__version__}\")\n",
        "except ImportError:\n",
        "    !pip install -q torch>=2.2 transformers>=4.40 datasets>=2.18\n",
        "!pip install -q evaluate"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "id": "65fe2a83",
      "metadata": {
        "id": "65fe2a83"
      },
      "outputs": [],
      "source": [
        "# Additional requirements\n",
        "try:\n",
        "    import nltk, gensim\n",
        "except ImportError:\n",
        "    !pip install -q nltk gensim"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "13a6c901",
      "metadata": {
        "id": "13a6c901"
      },
      "source": [
        "# Task 1: Word Embeddings Playground\n",
        "*Where we discover words live in math space!*\n",
        "\n",
        "## How Word Vectors Work\n",
        "GloVe vectors are created by analyzing word co-occurrence statistics across a massive corpus. Each dimension captures latent semantic features - for example:\n",
        "- Dimension 12 might represent \"gender\" (king→queen)\n",
        "- Dimension 47 might encode \"plurality\"\n",
        "The values shown in our plot are these learned feature weights."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "id": "78825853",
      "metadata": {
        "id": "78825853"
      },
      "outputs": [],
      "source": [
        "import gensim.downloader as api\n",
        "import matplotlib.pyplot as plt"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "id": "51199629",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "51199629",
        "outputId": "d8f60ee4-91eb-4650-948c-ad121d6a3713"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Available embeddings: ['fasttext-wiki-news-subwords-300', 'conceptnet-numberbatch-17-06-300', 'word2vec-ruscorpora-300', 'word2vec-google-news-300', 'glove-wiki-gigaword-50', 'glove-wiki-gigaword-100', 'glove-wiki-gigaword-200', 'glove-wiki-gigaword-300', 'glove-twitter-25', 'glove-twitter-50', 'glove-twitter-100', 'glove-twitter-200', '__testing_word2vec-matrix-synopsis']\n",
            "[==================================================] 100.0% 376.1/376.1MB downloaded\n"
          ]
        }
      ],
      "source": [
        "# Load embeddings (like digital dictionaries)\n",
        "print(\"Available embeddings:\", list(api.info()['models'].keys()))\n",
        "glove = api.load(\"glove-wiki-gigaword-300\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "id": "758b7be1",
      "metadata": {
        "lines_to_next_cell": 1,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "758b7be1",
        "outputId": "b930d59f-fc80-4e08-81db-a758f0a50caf"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Fun visualization\n",
        "words = [\"king\", \"queen\", \"man\", \"woman\", \"doctor\", \"nurse\"]\n",
        "plt.figure(figsize=(12,6))\n",
        "for word in words:\n",
        "    plt.plot(glove[word][:50], label=word)\n",
        "plt.title(\"Word Profiles (First 50 Dimensions)\")\n",
        "plt.xlabel(\"Dimension\")\n",
        "plt.ylabel(\"Value\")\n",
        "plt.legend()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Please answer:** What do you notice about the shape or pattern of vectors for similar vs. different words in the plot?"
      ],
      "metadata": {
        "id": "phaCz1_u83qr"
      },
      "id": "phaCz1_u83qr"
    },
    {
      "cell_type": "markdown",
      "id": "936ac378",
      "metadata": {
        "id": "936ac378"
      },
      "source": [
        "## Word Relationships Game\n",
        "Let's solve analogies like word puzzles!\n",
        "\n",
        "### Why Analogies Work Mathematically\n",
        "When we compute `king - man + woman ≈ queen`, we're essentially:\n",
        "1. Removing the \"maleness\" vector component\n",
        "2. Adding \"femaleness\"\n",
        "3. Searching for the closest matching vector in the embedding space\n",
        "This works because relationships are preserved as linear translations in the vector space."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "id": "3935c90e",
      "metadata": {
        "lines_to_next_cell": 1,
        "id": "3935c90e"
      },
      "outputs": [],
      "source": [
        "def word_math(a, b, c, top_n=3):\n",
        "    \"\"\"Solves a is to b as c is to ___\"\"\"\n",
        "    try:\n",
        "        results = glove.most_similar(positive=[c, b], negative=[a], topn=top_n)\n",
        "        print(f\"\\n{a} → {b} :: {c} → ?\")\n",
        "        for word, score in results:\n",
        "            print(f\"- {word} (confidence: {score:.2f})\")\n",
        "    except KeyError as e:\n",
        "        print(f\"Oops! Missing word: {e}\")"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Please try:** Use the `word_math()` function with at least 2 new examples of your choice.\n",
        "**Please answer:** Did your results make sense? What relationships did the model capture?"
      ],
      "metadata": {
        "id": "JluFYhb-87Pu"
      },
      "id": "JluFYhb-87Pu"
    },
    {
      "cell_type": "code",
      "execution_count": 54,
      "id": "e92931c2",
      "metadata": {
        "id": "e92931c2"
      },
      "outputs": [],
      "source": [
        "#TODO"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "05ca9db2",
      "metadata": {
        "id": "05ca9db2"
      },
      "source": [
        "## Reflection\n",
        "- How do word embeddings like GloVe help in understanding relationships between words?\n",
        "- Can you think of other applications where word vectors could be useful?"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "---\n",
        "# Task 2: Sentiment Analysis Battle\n",
        "*LSTMs vs Transformers vs Rule-Based*\n",
        "\n",
        "## 2.1 Data Loading\n",
        "*Stanford Sentiment Treebank - movie reviews*\n"
      ],
      "metadata": {
        "id": "eaedf21c"
      },
      "id": "eaedf21c"
    },
    {
      "cell_type": "markdown",
      "id": "fa16e46e",
      "metadata": {
        "id": "fa16e46e"
      },
      "source": [
        "📌 Tokenize SST2 and build word-level vocab"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "id": "c44daeac",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "c44daeac",
        "outputId": "3688237f-a721-4933-d4e7-ce17c614e537"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "[nltk_data] Downloading package punkt to /root/nltk_data...\n",
            "[nltk_data]   Unzipping tokenizers/punkt.zip.\n",
            "[nltk_data] Downloading package punkt_tab to /root/nltk_data...\n",
            "[nltk_data]   Unzipping tokenizers/punkt_tab.zip.\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ],
      "source": [
        "from datasets import load_dataset\n",
        "from collections import Counter\n",
        "from nltk.tokenize import word_tokenize\n",
        "import nltk\n",
        "nltk.download(\"punkt\")\n",
        "nltk.download(\"punkt_tab\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "id": "dcd090f3",
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        "lines_to_next_cell": 1,
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          ]
        },
        "id": "dcd090f3",
        "outputId": "a7d05ef4-5d6b-4084-b48a-62f989f32301"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_auth.py:104: UserWarning: \n",
            "Error while fetching `HF_TOKEN` secret value from your vault: 'Requesting secret HF_TOKEN timed out. Secrets can only be fetched when running from the Colab UI.'.\n",
            "You are not authenticated with the Hugging Face Hub in this notebook.\n",
            "If the error persists, please let us know by opening an issue on GitHub (https://github.com/huggingface/huggingface_hub/issues/new).\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "README.md:   0%|          | 0.00/35.3k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
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          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "train-00000-of-00001.parquet:   0%|          | 0.00/3.11M [00:00<?, ?B/s]"
            ],
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              "version_major": 2,
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          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "validation-00000-of-00001.parquet:   0%|          | 0.00/72.8k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "1a0611bb3e1e42018374aaffd4b6888c"
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          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "test-00000-of-00001.parquet:   0%|          | 0.00/148k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
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              "model_id": "e78c4565ad31498eb543b4bb602dfe7a"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Generating train split:   0%|          | 0/67349 [00:00<?, ? examples/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "85de6fe7139b49f1bd0bdfc03515d206"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Generating validation split:   0%|          | 0/872 [00:00<?, ? examples/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "ca23bb40fdd04762851f735236957ab4"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Generating test split:   0%|          | 0/1821 [00:00<?, ? examples/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "fdcff9d8a4744086ade17e6d903efa5b"
            }
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Load SST2\n",
        "raw_sst2 = load_dataset(\"glue\", \"sst2\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "id": "32b93300",
      "metadata": {
        "lines_to_next_cell": 1,
        "id": "32b93300"
      },
      "outputs": [],
      "source": [
        "# Tokenize\n",
        "def tokenize(example):\n",
        "    return {\"tokens\": word_tokenize(example[\"sentence\"].lower())}"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "id": "9827e6a9",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 49,
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          ]
        },
        "id": "9827e6a9",
        "outputId": "f3a9c80c-018c-4de9-c146-265ce071b681"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Map:   0%|          | 0/67349 [00:00<?, ? examples/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "d673caf748e948149d125dd84528a5e7"
            }
          },
          "metadata": {}
        }
      ],
      "source": [
        "tokenized = raw_sst2[\"train\"].map(tokenize)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "id": "26a39183",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "26a39183",
        "outputId": "ae787c48-a38c-4925-d678-ff74ae4b8272"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Vocab size: 14301\n"
          ]
        }
      ],
      "source": [
        "# Build vocab\n",
        "word_counts = Counter(word for ex in tokenized[\"tokens\"] for word in ex)\n",
        "vocab = {\"<pad>\": 0, \"<unk>\": 1}\n",
        "for word, count in word_counts.items():\n",
        "    if count >= 2:\n",
        "        vocab[word] = len(vocab)\n",
        "print(f\"Vocab size: {len(vocab)}\")"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### The Role of Attention Masks\n",
        "These binary tensors tell the model which tokens are:\n",
        "- `1`: Actual content\n",
        "- `0`: Padding (empty space added for batch uniformity)\n",
        "Without them, the model would process padding as meaningful input!\n",
        "\n",
        "## 2.2 LSTM Model\n",
        "*Our trusty recurrent network*\n",
        "\n",
        "### Why LSTMs for Text?\n",
        "Long Short-Term Memory networks:\n",
        "- Maintain a \"memory cell\" that tracks sentence context\n",
        "- Use gates to control information flow (forget/update/output)\n",
        "- Particularly good at capturing negation (e.g., \"not good\")"
      ],
      "metadata": {
        "id": "43d4f9e6"
      },
      "id": "43d4f9e6"
    },
    {
      "cell_type": "markdown",
      "id": "edf71442",
      "metadata": {
        "id": "edf71442"
      },
      "source": [
        "📌 Load GloVe vectors and build embedding matrix"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "id": "97b890a7",
      "metadata": {
        "id": "97b890a7"
      },
      "outputs": [],
      "source": [
        "import gensim.downloader as api\n",
        "import numpy as np"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "id": "a19ee7bf",
      "metadata": {
        "id": "a19ee7bf"
      },
      "outputs": [],
      "source": [
        "try:\n",
        "  glove\n",
        "except:\n",
        "  glove = api.load(\"glove-wiki-gigaword-300\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "id": "1b07b8e2",
      "metadata": {
        "id": "1b07b8e2"
      },
      "outputs": [],
      "source": [
        "embedding_dim = 300\n",
        "embedding_matrix = np.random.normal(scale=0.6, size=(len(vocab), embedding_dim)).astype(np.float32)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "id": "e37e234c",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "e37e234c",
        "outputId": "69723416-bc67-42d9-cd76-86d1a4bc73e9"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "GloVe coverage: 13303/14301 = 93.02%\n"
          ]
        }
      ],
      "source": [
        "hits = 0\n",
        "for word, idx in vocab.items():\n",
        "    if word in glove:\n",
        "        embedding_matrix[idx] = glove[word]\n",
        "        hits += 1\n",
        "print(f\"GloVe coverage: {hits}/{len(vocab)} = {100 * hits/len(vocab):.2f}%\")"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "e783030d",
      "metadata": {
        "id": "e783030d"
      },
      "source": [
        "📌 Prepare dataset and DataLoader"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "id": "1f7aaa77",
      "metadata": {
        "lines_to_next_cell": 1,
        "id": "1f7aaa77"
      },
      "outputs": [],
      "source": [
        "import torch\n",
        "from torch.nn.utils.rnn import pad_sequence\n",
        "from torch.utils.data import DataLoader"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "id": "2c4e2c52",
      "metadata": {
        "lines_to_next_cell": 1,
        "id": "2c4e2c52"
      },
      "outputs": [],
      "source": [
        "def encode(tokens):\n",
        "    return [vocab.get(token, vocab[\"<unk>\"]) for token in tokens]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "id": "f9df9cb4",
      "metadata": {
        "lines_to_next_cell": 1,
        "id": "f9df9cb4"
      },
      "outputs": [],
      "source": [
        "def collate(batch):\n",
        "    input_ids = [torch.tensor(encode(ex[\"tokens\"])) for ex in batch]\n",
        "    labels = torch.tensor([ex[\"label\"] for ex in batch])\n",
        "    return pad_sequence(input_ids, batch_first=True, padding_value=vocab[\"<pad>\"]), labels"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "id": "afce9d8c",
      "metadata": {
        "id": "afce9d8c"
      },
      "outputs": [],
      "source": [
        "# Use a small subset for quick training\n",
        "train_data = tokenized.select(range(5000))\n",
        "train_loader = DataLoader(train_data, batch_size=32, shuffle=True, collate_fn=collate)"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### LSTM Model Definition\n",
        "*Defining the architecture of our LSTM model using GloVe embeddings*"
      ],
      "metadata": {
        "id": "59238056"
      },
      "id": "59238056"
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "id": "49f3fc42",
      "metadata": {
        "lines_to_next_cell": 1,
        "id": "49f3fc42"
      },
      "outputs": [],
      "source": [
        "import torch.nn as nn"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "id": "d5aaeeee",
      "metadata": {
        "lines_to_next_cell": 1,
        "id": "d5aaeeee"
      },
      "outputs": [],
      "source": [
        "class GloveLSTM(nn.Module):\n",
        "    def __init__(self, embedding_matrix):\n",
        "        super().__init__()\n",
        "        num_embeddings, emb_dim = embedding_matrix.shape\n",
        "        self.embedding = nn.Embedding.from_pretrained(torch.tensor(embedding_matrix), freeze=False, padding_idx=0)\n",
        "        self.lstm = nn.LSTM(emb_dim, 128, bidirectional=True, batch_first=True)\n",
        "        self.fc = nn.Linear(256, 2)\n",
        "\n",
        "    def forward(self, x):\n",
        "        x = self.embedding(x)\n",
        "        _, (h_n, _) = self.lstm(x)\n",
        "        h = torch.cat((h_n[0], h_n[1]), dim=1)\n",
        "        return self.fc(h)"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Training the LSTM Model\n",
        "📌 Train the LSTM with classic PyTorch"
      ],
      "metadata": {
        "id": "6f74bf7f"
      },
      "id": "6f74bf7f"
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "id": "a7b5ef73",
      "metadata": {
        "id": "a7b5ef73"
      },
      "outputs": [],
      "source": [
        "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
        "model = GloveLSTM(embedding_matrix).to(device)\n",
        "optimizer = torch.optim.Adam(model.parameters(), lr=1e-3)\n",
        "loss_fn = nn.CrossEntropyLoss()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "id": "234862fc",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "234862fc",
        "outputId": "3f282064-03c6-4ebc-ad29-1f2a59121354"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1 | Loss: 77.68 | Accuracy: 74.70%\n",
            "Epoch 2 | Loss: 41.15 | Accuracy: 89.48%\n",
            "Epoch 3 | Loss: 21.20 | Accuracy: 95.04%\n",
            "Epoch 4 | Loss: 10.32 | Accuracy: 97.94%\n",
            "Epoch 5 | Loss: 5.69 | Accuracy: 98.82%\n"
          ]
        }
      ],
      "source": [
        "model.train()\n",
        "for epoch in range(5):\n",
        "    total_loss = 0\n",
        "    correct = 0\n",
        "    total = 0\n",
        "    for x, y in train_loader:\n",
        "        x, y = x.to(device), y.to(device)\n",
        "        optimizer.zero_grad()\n",
        "        logits = model(x)\n",
        "        loss = loss_fn(logits, y)\n",
        "        loss.backward()\n",
        "        optimizer.step()\n",
        "        total_loss += loss.item()\n",
        "        correct += (logits.argmax(1) == y).sum().item()\n",
        "        total += y.size(0)\n",
        "    print(f\"Epoch {epoch+1} | Loss: {total_loss:.2f} | Accuracy: {100 * correct/total:.2f}%\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "id": "e0139ddc",
      "metadata": {
        "id": "e0139ddc"
      },
      "outputs": [],
      "source": [
        "torch.save(model.state_dict(), \"glove_lstm.pt\")"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Please answer:** What was the final training accuracy of your LSTM model?\n",
        "**Please answer:** At which epoch did the model start performing well?"
      ],
      "metadata": {
        "id": "WNk4lQT-9E94"
      },
      "id": "WNk4lQT-9E94"
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 2.5 Transformer Model (RoBERTa) using HuggingFace Trainer\n",
        "Finetuning RoBERTa with HuggingFace Trainer API"
      ],
      "metadata": {
        "id": "109fb765"
      },
      "id": "109fb765"
    },
    {
      "cell_type": "code",
      "execution_count": 31,
      "id": "93d58abb",
      "metadata": {
        "id": "93d58abb"
      },
      "outputs": [],
      "source": [
        "from datasets import load_dataset\n",
        "from transformers import AutoTokenizer\n",
        "from collections import Counter"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 32,
      "id": "9aa69ee8",
      "metadata": {
        "colab": {
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        },
        "id": "9aa69ee8",
        "outputId": "7c552854-2e1b-4264-9504-ae92d9b4489f"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "tokenizer_config.json:   0%|          | 0.00/25.0 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
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            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "config.json:   0%|          | 0.00/481 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "10f71c94087c436487fbf28d9b0d5651"
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          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "vocab.json:   0%|          | 0.00/899k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "0d08647926294df7b270597e9e74102f"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "merges.txt:   0%|          | 0.00/456k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "2a94d13b56634030b562cff601975d3a"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "tokenizer.json:   0%|          | 0.00/1.36M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "977b4d9b1df34f22b4f7d69ff5c90baf"
            }
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Load dataset and tokenizer\n",
        "sst2 = load_dataset(\"glue\", \"sst2\")\n",
        "tokenizer = AutoTokenizer.from_pretrained(\"roberta-base\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 33,
      "id": "905b8366",
      "metadata": {
        "lines_to_next_cell": 1,
        "id": "905b8366"
      },
      "outputs": [],
      "source": [
        "# Select training subset\n",
        "small_train = sst2[\"train\"].shuffle(seed=42).select(range(2000))\n",
        "val_data = sst2[\"validation\"]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 34,
      "id": "2e7455fe",
      "metadata": {
        "lines_to_next_cell": 1,
        "id": "2e7455fe"
      },
      "outputs": [],
      "source": [
        "# Define tokenizer function\n",
        "def tokenize(batch):\n",
        "    return tokenizer(batch[\"sentence\"], padding=\"max_length\", truncation=True, max_length=128)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 35,
      "id": "8d1542bc",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 81,
          "referenced_widgets": [
            "0abc6720f02f4e1f8ae667a73bd30ec0",
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            "2528a2a762a14a4dae552959fbd0eeaf",
            "7af8ac5b50e84662b2cabce4446d0e70",
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          ]
        },
        "id": "8d1542bc",
        "outputId": "eb41fa0d-a7de-4565-c2c6-23777b354ed8"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Map:   0%|          | 0/2000 [00:00<?, ? examples/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "0abc6720f02f4e1f8ae667a73bd30ec0"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Map:   0%|          | 0/872 [00:00<?, ? examples/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
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              "model_id": "7af8ac5b50e84662b2cabce4446d0e70"
            }
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Apply tokenizer to both sets\n",
        "small_train = small_train.map(tokenize, batched=True)\n",
        "val_data = val_data.map(tokenize, batched=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 36,
      "id": "4495f8d7",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4495f8d7",
        "outputId": "79a53a07-66f7-4357-bdb6-7763bfc76077"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "  Negative (0): 879\n",
            "  Positive (1): 1121\n"
          ]
        }
      ],
      "source": [
        "# Check label balance BEFORE formatting\n",
        "raw_labels = [ex[\"label\"] for ex in small_train]\n",
        "counts = Counter(raw_labels)\n",
        "print(f\"  Negative (0): {counts[0]}\")\n",
        "print(f\"  Positive (1): {counts[1]}\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 37,
      "id": "63c26190",
      "metadata": {
        "id": "63c26190"
      },
      "outputs": [],
      "source": [
        "# %%\n",
        "# Format for PyTorch\n",
        "small_train.set_format(type=\"torch\", columns=[\"input_ids\", \"attention_mask\", \"label\"])\n",
        "val_data.set_format(type=\"torch\", columns=[\"input_ids\", \"attention_mask\", \"label\"])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 38,
      "id": "af7326e0",
      "metadata": {
        "id": "af7326e0"
      },
      "outputs": [],
      "source": [
        "from transformers import RobertaForSequenceClassification, TrainingArguments, Trainer\n",
        "import evaluate"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 39,
      "id": "84a07be8",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 142,
          "referenced_widgets": [
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          ]
        },
        "id": "84a07be8",
        "outputId": "fe30d7ed-1378-4a57-dfa5-7593088686da"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`\n",
            "WARNING:huggingface_hub.file_download:Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "model.safetensors:   0%|          | 0.00/499M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "5a23ad90da20446b824861677fc8e733"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Some weights of RobertaForSequenceClassification were not initialized from the model checkpoint at roberta-base and are newly initialized: ['classifier.dense.bias', 'classifier.dense.weight', 'classifier.out_proj.bias', 'classifier.out_proj.weight']\n",
            "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"
          ]
        }
      ],
      "source": [
        "# Load model with label mapping\n",
        "model = RobertaForSequenceClassification.from_pretrained(\n",
        "    \"roberta-base\",\n",
        "    num_labels=2,\n",
        "    id2label={0: \"negative\", 1: \"positive\"},\n",
        "    label2id={\"negative\": 0, \"positive\": 1}\n",
        ")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 40,
      "id": "0b9c95d6",
      "metadata": {
        "lines_to_next_cell": 1,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 49,
          "referenced_widgets": [
            "94030e7b490f46c181a9b387af09ea70",
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        },
        "id": "0b9c95d6",
        "outputId": "a67d7e0c-a60a-4c1d-faa3-5779aa53aefa"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading builder script:   0%|          | 0.00/4.20k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "94030e7b490f46c181a9b387af09ea70"
            }
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Load evaluation metric\n",
        "accuracy = evaluate.load(\"accuracy\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 41,
      "id": "eaa4ee09",
      "metadata": {
        "lines_to_next_cell": 1,
        "id": "eaa4ee09"
      },
      "outputs": [],
      "source": [
        "def compute_metrics(eval_pred):\n",
        "    logits, labels = eval_pred\n",
        "    predictions = logits.argmax(axis=-1)\n",
        "    return accuracy.compute(predictions=predictions, references=labels)"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Fast Training Config\n",
        "*Setting up the training arguments for RoBERTa*"
      ],
      "metadata": {
        "id": "847076a5"
      },
      "id": "847076a5"
    },
    {
      "cell_type": "code",
      "execution_count": 43,
      "id": "f08367ee",
      "metadata": {
        "id": "f08367ee"
      },
      "outputs": [],
      "source": [
        "# Fast training config\n",
        "training_args = TrainingArguments(\n",
        "    output_dir=\"./roberta-finetuned\",\n",
        "    eval_strategy=\"epoch\",  # ensure evaluations happen regularly\n",
        "    num_train_epochs=2,\n",
        "    per_device_train_batch_size=32,\n",
        "    per_device_eval_batch_size=64,\n",
        "    logging_steps=10,\n",
        "    logging_dir=\"./logs\",\n",
        "    learning_rate=2e-5,\n",
        "    weight_decay=0.01,\n",
        "    report_to=\"none\"\n",
        ")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 44,
      "id": "9fd0e5e6",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9fd0e5e6",
        "outputId": "c5a0ea5f-97f7-4cf3-f380-7d030fa9d2b9"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-44-d10bc2f92c50>:2: FutureWarning: `tokenizer` is deprecated and will be removed in version 5.0.0 for `Trainer.__init__`. Use `processing_class` instead.\n",
            "  trainer = Trainer(\n"
          ]
        }
      ],
      "source": [
        "# Initialize Trainer\n",
        "trainer = Trainer(\n",
        "    model=model,\n",
        "    args=training_args,\n",
        "    train_dataset=small_train,\n",
        "    eval_dataset=val_data,\n",
        "    tokenizer=tokenizer,\n",
        "    compute_metrics=compute_metrics,\n",
        ")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 45,
      "id": "2d4c2b20",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 36
        },
        "id": "2d4c2b20",
        "outputId": "fc37b6d7-a451-4c76-f9e5-e13ea7c4d56f"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'### Training and Saving the Model\\n*Training the RoBERTa model and saving the results*\\n'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 45
        }
      ],
      "source": [
        "# %%\n",
        "\"\"\"### Training and Saving the Model\n",
        "*Training the RoBERTa model and saving the results*\n",
        "\"\"\""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 46,
      "id": "c3cf3840",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 248
        },
        "id": "c3cf3840",
        "outputId": "9dedbe38-5ab5-4493-b36c-f42838ea0919"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "    <div>\n",
              "      \n",
              "      <progress value='126' max='126' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
              "      [126/126 01:35, Epoch 2/2]\n",
              "    </div>\n",
              "    <table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              " <tr style=\"text-align: left;\">\n",
              "      <th>Epoch</th>\n",
              "      <th>Training Loss</th>\n",
              "      <th>Validation Loss</th>\n",
              "      <th>Accuracy</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>1</td>\n",
              "      <td>0.400200</td>\n",
              "      <td>0.326683</td>\n",
              "      <td>0.889908</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2</td>\n",
              "      <td>0.292900</td>\n",
              "      <td>0.285359</td>\n",
              "      <td>0.893349</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table><p>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "('./roberta-finetuned/tokenizer_config.json',\n",
              " './roberta-finetuned/special_tokens_map.json',\n",
              " './roberta-finetuned/vocab.json',\n",
              " './roberta-finetuned/merges.txt',\n",
              " './roberta-finetuned/added_tokens.json',\n",
              " './roberta-finetuned/tokenizer.json')"
            ]
          },
          "metadata": {},
          "execution_count": 46
        }
      ],
      "source": [
        "# Train and save\n",
        "trainer.train()\n",
        "trainer.save_model(\"./roberta-finetuned\")\n",
        "tokenizer.save_pretrained(\"./roberta-finetuned\")"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Please answer:** What was the final validation accuracy of your RoBERTa model?  \n",
        "**Please answer:** Did it outperform the LSTM? Why or why not?"
      ],
      "metadata": {
        "id": "tCiXI0Km9I4z"
      },
      "id": "tCiXI0Km9I4z"
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 2.4 VADER Showdown\n",
        "*Human rules vs machine learning*\n",
        "\n",
        "### Rule-Based vs Learned Sentiment\n",
        "| Approach      | Strengths                          | Weaknesses                     |\n",
        "|---------------|------------------------------------|--------------------------------|\n",
        "| VADER         | Fast, no training needed           | Handles only simple patterns   |\n",
        "| LSTM          | Learns complex phrasing            | Needs lots of data             |\n",
        "| Transformer   | Captures long-range dependencies   | Computationally expensive      |"
      ],
      "metadata": {
        "id": "jdclC5Zz5oxy"
      },
      "id": "jdclC5Zz5oxy"
    },
    {
      "cell_type": "code",
      "execution_count": 49,
      "id": "b6546105",
      "metadata": {
        "id": "b6546105"
      },
      "outputs": [],
      "source": [
        "# ✅ Ground truth labels for each input\n",
        "# 0 = negative, 1 = positive\n",
        "example_data = [\n",
        "    (\"This movie was fantastic!\", 1),\n",
        "    (\"¡Esta película fue horrible!\", 0),\n",
        "    (\"Ce film était très bon.\", 1),\n",
        "    (\"Der Film war wirklich schlecht.\", 0),\n",
        "    (\"This was just okay.\", 1),\n",
        "]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 53,
      "id": "77dc4fc6",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 261
        },
        "id": "77dc4fc6",
        "outputId": "54c4e84c-d491-432d-e0fc-0203bea19f58"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "[nltk_data] Downloading package vader_lexicon to /root/nltk_data...\n",
            "[nltk_data]   Package vader_lexicon is already up-to-date!\n",
            "Device set to use cuda:0\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                              Text      True       VADER               LSTM  \\\n",
              "0        This movie was fantastic!  positive  positive ✅  positive (1.00) ✅   \n",
              "1     ¡Esta película fue horrible!  negative  negative ✅  negative (0.83) ✅   \n",
              "2          Ce film était très bon.  positive   neutral ❌  positive (0.99) ✅   \n",
              "3  Der Film war wirklich schlecht.  negative  negative ✅  positive (0.97) ❌   \n",
              "4              This was just okay.  positive  positive ✅  negative (0.65) ❌   \n",
              "\n",
              "             RoBERTa  \n",
              "0  positive (0.96) ✅  \n",
              "1  negative (0.93) ✅  \n",
              "2  positive (0.79) ✅  \n",
              "3  negative (0.69) ✅  \n",
              "4  positive (0.81) ✅  "
            ],
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"pd\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"Text\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"\\u00a1Esta pel\\u00edcula fue horrible!\",\n          \"This was just okay.\",\n          \"Ce film \\u00e9tait tr\\u00e8s bon.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"True\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"negative\",\n          \"positive\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"VADER\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"positive \\u2705\",\n          \"negative \\u2705\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"LSTM\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"negative (0.83) \\u2705\",\n          \"negative (0.65) \\u274c\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"RoBERTa\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"negative (0.93) \\u2705\",\n          \"positive (0.81) \\u2705\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 53
        }
      ],
      "source": [
        "# Make sure these are run earlier:\n",
        "# - embedding_matrix and vocab must exist\n",
        "# - GloveLSTM class must be defined\n",
        "# - example_data = [(text, label), ...] must be set\n",
        "\n",
        "import nltk\n",
        "from nltk.sentiment import SentimentIntensityAnalyzer\n",
        "from transformers import RobertaForSequenceClassification, AutoTokenizer, pipeline\n",
        "import torch\n",
        "import torch.nn.functional as F\n",
        "from nltk.tokenize import word_tokenize\n",
        "import pandas as pd\n",
        "\n",
        "# Initialize VADER\n",
        "nltk.download('vader_lexicon')\n",
        "vader = SentimentIntensityAnalyzer()\n",
        "\n",
        "# Load LSTM model\n",
        "lstm_model = GloveLSTM(embedding_matrix)\n",
        "lstm_model.load_state_dict(torch.load(\"glove_lstm.pt\", map_location=\"cpu\"))\n",
        "lstm_model.eval()\n",
        "\n",
        "# Load RoBERTa model and pipeline\n",
        "roberta_model = RobertaForSequenceClassification.from_pretrained(\"./roberta-finetuned\")\n",
        "roberta_tokenizer = AutoTokenizer.from_pretrained(\"./roberta-finetuned\")\n",
        "roberta_pipe = pipeline(\"sentiment-analysis\", model=roberta_model, tokenizer=roberta_tokenizer)\n",
        "\n",
        "# Compare models on predefined data\n",
        "rows = []\n",
        "for text, true_label in example_data:\n",
        "    # VADER\n",
        "    vader_score = vader.polarity_scores(text)[\"compound\"]\n",
        "    vader_pred = 1 if vader_score > 0.05 else 0 if vader_score < -0.05 else -1\n",
        "    vader_label = {1: \"positive\", 0: \"negative\", -1: \"neutral\"}[vader_pred]\n",
        "    vader_correct = \"✅\" if vader_pred == true_label else \"❌\"\n",
        "\n",
        "    # LSTM\n",
        "    tokens = [vocab.get(tok.lower(), vocab[\"<unk>\"]) for tok in word_tokenize(text)]\n",
        "    input_tensor = torch.tensor(tokens).unsqueeze(0)\n",
        "    with torch.no_grad():\n",
        "        logits = lstm_model(input_tensor)\n",
        "        probs = F.softmax(logits, dim=1).squeeze()\n",
        "        lstm_pred = int(probs.argmax().item())\n",
        "        lstm_conf = probs.max().item()\n",
        "    lstm_label = \"positive\" if lstm_pred == 1 else \"negative\"\n",
        "    lstm_correct = \"✅\" if lstm_pred == true_label else \"❌\"\n",
        "\n",
        "    # RoBERTa\n",
        "    roberta_result = roberta_pipe(text)[0]\n",
        "    roberta_label = roberta_result[\"label\"].lower()\n",
        "    roberta_pred = 1 if roberta_label == \"positive\" else 0\n",
        "    roberta_conf = roberta_result[\"score\"]\n",
        "    roberta_correct = \"✅\" if roberta_pred == true_label else \"❌\"\n",
        "\n",
        "    rows.append({\n",
        "        \"Text\": text,\n",
        "        \"True\": \"positive\" if true_label else \"negative\",\n",
        "        \"VADER\": f\"{vader_label} {vader_correct}\",\n",
        "        \"LSTM\": f\"{lstm_label} ({lstm_conf:.2f}) {lstm_correct}\",\n",
        "        \"RoBERTa\": f\"{roberta_label} ({roberta_conf:.2f}) {roberta_correct}\"\n",
        "    })\n",
        "\n",
        "# Display as table\n",
        "pd.DataFrame(rows)"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 🧠 Knowledge Check\n",
        "\n",
        "**Please answer all questions below:**\n",
        "\n",
        "1. What are the strengths and weaknesses of using rule-based sentiment analysis compared to learned models like LSTM or RoBERTa?\n",
        "\n",
        "2. How does the attention mechanism in Transformers improve model performance?\n",
        "\n",
        "3. Choose one example from the sentiment table where a model made a mistake. Why do you think it failed?\n",
        "\n",
        "4. What does GloVe use to represent word meaning?\n",
        "\n",
        "5. Why might LSTM struggle with non-English text?\n",
        "\n",
        "6. Why does RoBERTa outperform VADER in some cases?\n",
        "\n",
        "7. How does padding affect model performance?\n",
        "\n",
        "8. Which model would you choose for a real-world chatbot, and why?"
      ],
      "metadata": {
        "id": "Iwj2eOgG5aci"
      },
      "id": "Iwj2eOgG5aci"
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 🔚 Final Takeaways\n",
        "\n",
        "- **Word embeddings** (like GloVe) capture meaningful relationships between words.\n",
        "- **LSTMs** are fast and effective for English, but struggle with multilingual input.\n",
        "- **RoBERTa** generalizes well — especially when fine-tuned — and handles non-English cases.\n",
        "- **VADER** provides fast rule-based sentiment but is limited to English and simple phrasing.\n",
        "\n",
        "### 📈 NLP Evolution at a Glance\n",
        "- 2010: Bag-of-Words & TF-IDF\n",
        "- 2014: Word2Vec / GloVe embeddings\n",
        "- 2017: Transformers (Attention is All You Need)\n",
        "- 2020s: Multilingual & foundation models dominate\n",
        "\n"
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        "# ✅ Submission Instructions (via CourSys)\n",
        "\n",
        "Please submit the following two files to **CourSys**:\n",
        "\n",
        "- 📝 `A10.ipynb`: Your completed Colab or Jupyter notebook\n",
        "  - Must include **all output** and run top-to-bottom without error\n",
        "- 📄 `answers.txt`: A plain text file containing:\n",
        "  - Your answers to all **reflection and knowledge check questions**\n",
        "  - Copy/paste the questions into the file before your answers\n",
        "\n",
        "### ✅ Submission Checklist\n",
        "- [ ] Your notebook runs top-to-bottom without errors\n",
        "- [ ] You include a trained **LSTM** model using GloVe embeddings\n",
        "- [ ] You include a fine-tuned **RoBERTa** model on SST2\n",
        "- [ ] You completed the sentiment comparison using:\n",
        "  - VADER (rule-based baseline)\n",
        "  - Your trained LSTM\n",
        "  - Your fine-tuned RoBERTa\n",
        "- [ ] You've answered all marked questions in `answers.txt`\n",
        "\n",
        "📬 Submit both files to the **CourSys page for Assignment 10**. Only one group member needs to upload if working in a team."
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