Update sentiments.html
Browse files- sentiments.html +11 -151
sentiments.html
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<!DOCTYPE html>
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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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<script type="module">
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// To-Do: transfomers.js 라이브러리 중 pipeline 함수를 사용하기 위한 import 구문을 완성하십시오.
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// 힌트: import {}
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// Make it available globally
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window.pipeline = pipeline;
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</script>
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<link href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css" rel="stylesheet">
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<
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</
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<body>
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<div class="container-main">
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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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<!-- 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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<!-- 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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<hr> <!-- Line Separator -->
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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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<hr> <!-- Line Separator -->
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<!--
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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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<!-- 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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<script>
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let sentimentAnalysis;
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let reviewer;
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let toxic_classifier;
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// Initialize the sentiment analysis model
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async function initializeModel() {
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// pipeline 함수를 사용하여 감성분석에 사용할 Xenova/distilbert-base-uncased-finetuned-sst-2-english 모델 객체를 생성하여 sentimentAnalysis에 저장하십시오
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// 힌트: sentimentAnalysis = await pipeline
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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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const result = await sentimentAnalysis(textFieldValue);
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document.getElementById("outputArea").innerText = JSON.stringify(result, null, 2);
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}
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async function analyzeSentimentMulti() {
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const textFieldValue1 = document.getElementById("sentimentText1sentimentText").value.trim();
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const textFieldValue2 = document.getElementById("sentimentText2").value.trim();
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// 위에서 생성한 감성분석 모델 객체에 sentimentText1과 sentimentText2를 입력하여 감상분석을 수행하고 그 결과를 result에 저정하십시오.
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// 힌트 : cont result =
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document.getElementById("outputArea2").innerText = JSON.stringify(result, null, 2);
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}
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async function toxicReview() {
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const textFieldValue = document.getElementById("toxicText").value.trim();
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const result = await toxic_classifier(textFieldValue, { topk: null });
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document.getElementById("toxicOutputArea").innerText = JSON.stringify(result, null, 2);
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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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</html>
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<!DOCTYPE html><html lang="en">
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<head> <meta charset="UTF-8"> <title>Sentiment Analysis - Hugging Face Transformers.js</title>
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<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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<link href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css" rel="stylesheet">
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<link rel="stylesheet" href="css/styles.css"></head>
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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>
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<!-- Content --> <div class="container mt-5"> <!-- Centered Titles --> <div class="text-center"> <h2>Natural Language Processing</h2> <h4>Sentiment Analysis (Text Classification)</h4> </div>
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<!-- 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>
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<hr> <!-- Line Separator -->
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<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>
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<hr> <!-- Line Separator -->
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<!-- 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>
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<!-- 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>
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<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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</html>
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