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sarcasm-detector
Advanced tools
A sophisticated NLP-based sarcasm detection library for both Node.js and browser environments
A sophisticated library for detecting sarcasm and tone in text using pattern matching, linguistic rules, and contextual analysis.
npm install sarcasm-detector
const SarcasmDetector = require('sarcasm-detector');
const detector = new SarcasmDetector();
const result = detector.detectSarcasm("Well, that was the most groundbreaking idea I've ever heard — if we were still living in 2005");
console.log(result);
// {
// isSarcastic: true,
// confidence: 0.85,
// sentiment: 2,
// indicators: {
// patternMatches: true,
// hasExaggeration: true,
// hasIrony: true,
// hasTemporalPhrase: true,
// hasContradiction: false,
// hasPositiveSentimentWithNegativeContext: true,
// semanticScore: 0.3
// }
// }
<script src="node_modules/sarcasm-detector/demo/sarcasm-detector.js"></script>
<script>
const detector = new SarcasmDetector();
const result = detector.detectSarcasm("That's exactly what we needed");
console.log(result);
</script>
detectSarcasm(text)
Analyzes text for sarcasm and returns detailed results.
Parameters:
text
(string): The text to analyzeReturns:
{
isSarcastic: boolean,
confidence: number, // 0-1
sentiment: number,
indicators: {
patternMatches: boolean,
hasExaggeration: boolean,
hasIrony: boolean,
hasTemporalPhrase: boolean,
hasContradiction: boolean,
hasPositiveSentimentWithNegativeContext: boolean,
semanticScore: number
}
}
detectTone(text)
Analyzes the overall tone of the text.
Parameters:
text
(string): The text to analyzeReturns:
{
tone: string, // 'sarcastic', 'positive', 'negative', 'neutral', etc.
confidence: number,
sentiment: number,
isSarcastic: boolean,
context: object
}
Try the live demo at: https://vamshikrishnab.github.io/sarcasm-detector/demo/
MIT
FAQs
A sophisticated NLP-based sarcasm detection library for both Node.js and browser environments
The npm package sarcasm-detector receives a total of 4 weekly downloads. As such, sarcasm-detector popularity was classified as not popular.
We found that sarcasm-detector demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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