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+ <!DOCTYPE html>
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+ <html lang="en">
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+
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+ <head>
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+ <meta charset="UTF-8">
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+ <title>Sentiment Analysis - Hugging Face Transformers.js</title>
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+
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+ <script type="module">
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+ // Import the library
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+ import { pipeline } from 'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.5.4';
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+
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+ // Make it available globally
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+ window.pipeline = pipeline;
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+ </script>
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+
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+ <link href="https://cdn.jsdelivr.net/npm/bootstrap@5.1.0/dist/css/bootstrap.min.css" rel="stylesheet">
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+
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+ <link rel="stylesheet" href="css/styles.css">
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+ </head>
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+
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+ <body>
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+ <div class="container-main">
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+
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+ <!-- Back to Home button -->
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+ <div class="row mt-5">
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+ <div class="col-md-12 text-center">
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+ <a href="index.html" class="btn btn-outline-secondary"
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+ style="color: #3c650b; border-color: #3c650b;">Back to Main Page</a>
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+ </div>
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+ </div>
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+
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+ <!-- Content -->
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+ <div class="container mt-5">
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+ <!-- Centered Titles -->
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+ <div class="text-center">
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+ <h2>Natural Language Processing</h2>
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+ <h4>Sentiment Analysis (Text Classification)</h4>
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+ </div>
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+
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+ <!-- Actual Content of this page -->
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+ <div id="sentiment-analyzer-container" class="container mt-4">
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+ <h5>Single Input:</h5>
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+ <div class="d-flex align-items-center">
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+ <label for="sentimentText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Text to
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+ Analyze:</label>
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+ <input type="text" class="form-control flex-grow-1" id="sentimentText" value="I love transformers!"
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+ placeholder="Enter text" style="margin-right: 15px; margin-left: 15px;">
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+ <button id="analyzeButton" class="btn btn-primary" onclick="analyzeSentiment()">Analyze</button>
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+ </div>
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+ <div class="mt-4">
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+ <h4>Output:</h4>
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+ <pre id="outputArea"></pre>
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+ </div>
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+ </div>
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+
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+ <hr> <!-- Line Separator -->
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+
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+ <div id="sentiment-analyzer-container2" class="container mt-4">
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+ <h5>Multiple Inputs:</h5>
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+ <div class="d-flex align-items-center mb-2">
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+ <label for="sentimentText1" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Text to
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+ Analyze 1:</label>
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+ <input type="text" class="form-control flex-grow-1" id="sentimentText1" value="I love transformers!"
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+ placeholder="Enter text" style="margin-right: 15px; margin-left: 15px;">
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+ </div>
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+ <div class="d-flex align-items-center">
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+ <label for="sentimentText2" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Text to
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+ Analyze 2:</label>
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+ <input type="text" class="form-control flex-grow-1" id="sentimentText2" value="I hate transformers!"
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+ placeholder="Enter text" style="margin-right: 15px; margin-left: 15px;">
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+ <button id="analyzeButton" class="btn btn-primary ml-2"
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+ onclick="analyzeSentimentMulti()">Analyze</button>
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+ </div>
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+ <div class="mt-4">
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+ <h4>Output:</h4>
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+ <pre id="outputArea2"></pre>
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+ </div>
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+ </div>
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+
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+ <hr> <!-- Line Separator -->
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+
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+ <!-- Toxic Comment Classification -->
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+ <div id="toxic-container" class="container mt-4">
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+ <h5>Toxic Comment Classification (Return All Classes):</h5>
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+ <div class="d-flex align-items-center">
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+ <label for="toxicText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Toxic
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+ Text:</label>
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+ <input type="text" class="form-control flex-grow-1" id="toxicText" value="I hate you!"
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+ placeholder="Enter text" style="margin-right: 15px; margin-left: 15px;">
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+ <button id="toxicButton" class="btn btn-primary" onclick="toxicReview()">Review</button>
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+ </div>
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+ <div class="mt-4">
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+ <h4>Output:</h4>
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+ <pre id="toxicOutputArea"></pre>
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+ </div>
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+ </div>
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+
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+ <!-- Back to Home button -->
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+ <div class="row mt-5">
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+ <div class="col-md-12 text-center">
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+ <a href="index.html" class="btn btn-outline-secondary"
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+ style="color: #3c650b; border-color: #3c650b;">Back to Main Page</a>
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+ </div>
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+ </div>
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+ </div>
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+ </div>
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+
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+ <script>
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+
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+ let sentimentAnalysis;
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+ let reviewer;
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+ let toxic_classifier;
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+
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+ // Initialize the sentiment analysis model
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+ async function initializeModel() {
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+ sentimentAnalysis = await pipeline('sentiment-analysis', 'Xenova/distilbert-base-uncased-finetuned-sst-2-english');
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+ toxic_classifier = await pipeline('text-classification', 'Xenova/toxic-bert');
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+ }
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+
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+ async function analyzeSentiment() {
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+ const textFieldValue = document.getElementById("sentimentText").value.trim();
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+
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+ const result = await sentimentAnalysis(textFieldValue);
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+
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+ document.getElementById("outputArea").innerText = JSON.stringify(result, null, 2);
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+ }
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+
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+ async function analyzeSentimentMulti() {
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+ const textFieldValue1 = document.getElementById("sentimentText1").value.trim();
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+ const textFieldValue2 = document.getElementById("sentimentText2").value.trim();
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+
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+ const result = await sentimentAnalysis([textFieldValue1, textFieldValue2]);
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+
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+ document.getElementById("outputArea2").innerText = JSON.stringify(result, null, 2);
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+ }
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+
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+
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+ async function toxicReview() {
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+
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+ const textFieldValue = document.getElementById("toxicText").value.trim();
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+
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+ const result = await toxic_classifier(textFieldValue, { topk: null });
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+
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+ document.getElementById("toxicOutputArea").innerText = JSON.stringify(result, null, 2);
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+
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+ }
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+
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+ // Initialize the model after the DOM is completely loaded
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+ window.addEventListener("DOMContentLoaded", initializeModel);
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+ </script>
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+ </body>
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+
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+ </html>