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<head> <meta charset="UTF-8"> <title>Sentiment Analysis - Hugging Face Transformers.js</title>
<script type="module"> // Import the library import { pipeline } from 'https://cdn.jsdelivr.net/npm/@xenova/[email protected]'; // Make it available globally window.pipeline = pipeline; </script>
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<body> <div class="container-main"> <!-- Back to Home button --> <div class="row mt-5"> <div class="col-md-12 text-center"> <a href="index.html" class="btn btn-outline-secondary" style="color: #3C650B; border-color: #3C650B;">Back to Main Page</a> </div> </div>
<!-- Content --> <div class="container mt-5"> <!-- Centered Titles --> <div class="text-center"> <h2>Natural Language Processing</h2> <h4>Sentiment Analysis (Text Classification)</h4> </div>
<!-- Actual Content of this page --> <div id="sentiment-analyzer-container" class="container mt-4"> <h5>Single Input:</h5> <div class="d-flex align-items-center"> <label for="sentimentText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Text to Analyze:</label> <input type="text" class="form-control flex-grow-1" id="sentimentText" value="I love transformers!" placeholder="Enter text" style="margin-right: 15px; margin-left: 15px;"> <button id="analyzeButton" class="btn btn-primary" onclick="analyzeSentiment()">Analyze</button> </div> <div class="mt-4"> <h4>Output:</h4> <pre id="outputArea"></pre> </div> </div>
<hr> <!-- Line Separator -->
<div id="sentiment-analyzer-container2" class="container mt-4"> <h5>Multiple Inputs:</h5> <div class="d-flex align-items-center mb-2"> <label for="sentimentText1" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Text to Analyze 1:</label> <input type="text" class="form-control flex-grow-1" id="sentimentText1" value="I love transformers!" placeholder="Enter text" style="margin-right: 15px; margin-left: 15px;"> </div> <div class="d-flex align-items-center"> <label for="sentimentText2" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Text to Analyze 2:</label> <input type="text" class="form-control flex-grow-1" id="sentimentText2" value="I hate transformers!" placeholder="Enter text" style="margin-right: 15px; margin-left: 15px;"> <button id="analyzeButton" class="btn btn-primary ml-2" onclick="analyzeSentimentMulti()">Analyze</button> </div> <div class="mt-4"> <h4>Output:</h4> <pre id="outputArea2"></pre> </div> </div>
<hr> <!-- Line Separator -->
<!-- Toxic Comment Classification --> <div id="toxic-container" class="container mt-4"> <h5>Toxic Comment Classification (Return All Classes):</h5> <div class="d-flex align-items-center"> <label for="toxicText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Toxic Text:</label> <input type="text" class="form-control flex-grow-1" id="toxicText" value="I hate you!" placeholder="Enter text" style="margin-right: 15px; margin-left: 15px;"> <button id="toxicButton" class="btn btn-primary" onclick="toxicReview()">Review</button> </div> <div class="mt-4"> <h4>Output:</h4> <pre id="toxicOutputArea"></pre> </div> </div>
<!-- Back to Home button --> <div class="row mt-5"> <div class="col-md-12 text-center"> <a href="index.html" class="btn btn-outline-secondary" style="color: #3C650B; border-color: #3C650B;">Back to Main Page</a> </div> </div> </div> </div>
<script> let sentimentAnalysis; let reviewer; let toxic_classifier; // Initialize the sentiment analysis model async function initializeModel() { sentimentAnalysis = await pipeline('sentiment-analysis', 'Xenova/distilbert-base-uncased-finetuned-sst-2-english'); toxic_classifier = await pipeline('text-classification', 'Xenova/toxic-bert'); } async function analyzeSentiment() { const textFieldValue = document.getElementById("sentimentText").value.trim(); const result = await sentimentAnalysis(textFieldValue); document.getElementById("outputArea").innerText = JSON.stringify(result, null, 2); } async function analyzeSentimentMulti() { const textFieldValue1 = document.getElementById("sentimentText1").value.trim(); const textFieldValue2 = document.getElementById("sentimentText2").value.trim(); const result = await sentimentAnalysis([textFieldValue1, textFieldValue2]); document.getElementById("outputArea2").innerText = JSON.stringify(result, null, 2); } async function toxicReview() { const textFieldValue = document.getElementById("toxicText").value.trim(); const result = await toxic_classifier(textFieldValue, { topk: null }); document.getElementById("toxicOutputArea").innerText = JSON.stringify(result, null, 2); } // Initialize the model after the DOM is completely loaded window.addEventListener("DOMContentLoaded", initializeModel); </script></body>
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