social‑sentiment is a Node.js backend that scrapes public posts from Reddit, Stack Overflow and the wider web (via DuckDuckGo), runs natural‑language processing on the retrieved text, and returns a numeric sentiment score indicating how positively or negatively a product is discussed. It is aimed at developers or analysts who need a simple API to gauge public opinion about products across multiple social platforms.
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This package converts apostrophe-connecting words to their standard lexicon form
Promise based HTTP client for the browser and node.js
General natural language (tokenizing, stemming (English, Russian, Spanish), part-of-speech tagging, sentiment analysis, classification, inflection, phonetics, tfidf, WordNet, jaro-winkler, Levenshtein
nodeJs Spelling Corrector version for Norvig's spelling corrector.
A module for node.js and the browser that takes in text and returns text that is stripped of stopwords. Has pre-defined stopword lists for 62 languages and also takes lists with custom stopwords as in
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Ilikepizza2
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