File size: 6,330 Bytes
fea0eb7 b26190f fea0eb7 9423bb1 fea0eb7 7c1d8cf fea0eb7 7c1d8cf fea0eb7 7c1d8cf fea0eb7 b26190f fea0eb7 b26190f fea0eb7 b26190f fea0eb7 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 |
<!DOCTYPE html>
<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/[email protected]';
// Make it available globally
window.pipeline = pipeline;
</script>
<link href="https://cdn.jsdelivr.net/npm/[email protected]/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, 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>
</html> |