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<html lang="en"> | |
<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/transformers@2.5.4'; | |
// Make it available globally | |
window.pipeline = pipeline; | |
</script> | |
<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.1.0/dist/css/bootstrap.min.css" rel="stylesheet"> | |
<link rel="stylesheet" href="css/styles.css"> | |
</head> | |
<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, ['label'], 2); //result[0]["label"] | |
} | |
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> | |
</html> |