Search results

157 packages found

AFINN-based sentiment analysis for Node.js

published 5.0.2 5 years ago
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Sentiment-api is an api wrapper for the Sentiment client API

published 1.0.0 a year ago
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A n8n node to connect Sentiment and send survey data to hundreds of other apps.

published 0.1.0 a year ago
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javascript port of vader sentiment tool

published 1.1.7 a year ago
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List of emoji rated for valence

published 3.0.1 2 years ago
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A very tiny, fast and useful tool for sentiment analysis. It works with any language and can also use provided intensifier words!

published 1.0.1 2 years ago
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AFINN 111 (list of English words rated for valence) in JSON

published 2.0.1 2 years ago
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Provides natural language understanding/processing to enable easy implementation of chat bots and voice services. High performance run time in only 2 lines of code - 'require' to include it, and the call to process the text. These can run anywhere Node.js

published 1.5.176 5 years ago
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Multilanguage and emojis AFINN-based sentiment analysis for Node.js

published 0.0.9 a year ago
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Detect the polarity (sentiment) of text

published 4.0.1 2 years ago
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AFINN 96 (list of English words rated for valence) in JSON

published 2.0.1 2 years ago
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Functions for calculating Open Vocabulary lexical statistics.

published 0.6.0 8 months ago
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Amharic Language Pre-processor toolkit

published 2.0.1 a year ago
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Text miner, polarity rater with results between -100% and +100%

published 1.1.4 7 years ago
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Accurate and fast sentiment scoring of phrases with emoticons :) & emojis 🎉

published 5.0.2 5 years ago
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Multi language AFINN-based sentiment analysis for Node.js

published 2.0.0 3 years ago
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Emoji sentiment data

published 3.0.2 7 years ago
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A sentiment analysis API which scrapes social media for you and returns the social sentiment of a keyword.

published 1.5.4 2 years ago
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Political news scraping & NLP parsing from web pages.

published 1.1.3 5 years ago
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Machine learner sentiment classifier, with ability to negate words, with english and german

published 2.0.7 8 years ago
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