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wink-sentiment

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Readme

wink-sentiment

Accurate and fast sentiment scoring of phrases with emoticons :) & emojis 🎉

Analyze sentiment of tweets, product reviews, social media content or any text using wink-sentiment. It is a part of wink — a growing family of high quality packages for Statistical Analysis, Natural Language Processing and Machine Learning in NodeJS.

It is based on AFINN and Emoji Sentiment Ranking; it's features include:

Intelligent negation handling; for example, phrase "good product" will get a positive score whereas "not a good product" gets a negative score.
Automatic detection and scoring of two-word phrases in a text; for example, "cool stuff", "well done", and "short sighted".
Processes each emoji and/or emoticon separately while scoring.
Embeds a powerful tokenizer.
Returns the sentiment score and tokens. Each token contains a set of properties defining its sentiment, if any.
Achieves accuracy of 77%, when validated using Amazon Product Review Sentiment Labelled Sentences Data Set at UCI Machine Learning Repository.

Installation

Use npm to install:

npm install wink-sentiment --save

Documentation

For detailed API docs, check out http://winkjs.org/wink-sentiment/ URL!

Need Help?

If you spot a bug and the same has not yet been reported, raise a new issue or consider fixing it and sending a pull request.

Copyright & License

It is licensed under the under the terms of the GNU Affero General Public License as published by the Free Software Foundation, version 3 of the License.