General natural language (tokenizing, stemming (English, Russian, Spanish), part-of-speech tagging, sentiment analysis, classification, inflection, phonetics, tfidf, WordNet, jaro-winkler, Levenshtein distance, Dice's Coefficient) facilities for node.
AFINN 165 (list of English words rated for valence) in JSON with added words and modifications for financial market news
Sentiment Analysis
Library for NLU (Natural Language Understanding) done in Node.js
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
A Node-RED node that uses the AFINN-165 wordlists for sentiment analysis of words.
Sentiment Analysis module
Automatically moderate your content with Moderation API
Make your app understand language. Summarize conversations, categorize articles, and more.
Text miner, polarity rater with results between -100% and +100%
Accurate and fast sentiment scoring of phrases with emoticons :) & emojis 🎉
Multi language AFINN-based sentiment analysis for Node.js
A powerful text analytics library that provides easy integration with AWS Comprehend and Azure Text Analytics for language detection, sentiment analysis, entity recognition, and key phrase extraction.
Naive Bayes Text Classifier
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, text generation, image generation, code generation, question answering, automatic speech recognition, machine translat
A Model Context Protocol (MCP) server exposing Genesys Cloud tools for LLMs, including sentiment analysis, conversation search, topic detection and more.
Intento API Client Library for Node.js
Very compact and simple to use sentiment analysis lib
Model Context Protocol (MCP) server for the Stockpulse API
Multilanguage AFINN-based sentiment analysis for Node.js
Babel Street Analytics API Node.js client SDK
Access unstructured data from social media about stocks as quantitative metric - see https://sentimentinvestor.com.
Library for NLU (Natural Language Understanding) done in Node.js
Genesys Cloud MCP Plus - Advanced Model Context Protocol server with 15 comprehensive tools for contact center analytics, real-time monitoring, and wrap-up code analysis. Enhanced with multi-media support and enterprise-grade features.
JavaScript/TypeScript Implementation of LLMLingua-2
nlp.js from axa-group in typescript 🚀. NLP library for building bots 🤖, with entity extraction, sentiment analysis, automatic language identification, and more.
A comprehensive JavaScript library for content moderation, including profanity filtering, sentiment analysis, and toxicity detection. Leveraging advanced algorithms and external APIs, TextModerate provides developers with tools to create safer and more po
Analyze strings based on sentiment and keyword strength using synonyms and related concepts
Sentiment Analysis
Classified facial expression emoticons database with polarity, used for the emotional sentiment analysis package
Analyse psychological wellbeing (PERMA) as expressed in English or Spanish strings.
Minor modifications to the original `natural` node package: General natural language (tokenizing, stemming (English, Russian, Spanish), part-of-speech tagging, sentiment analysis, classification, inflection, phonetics, tfidf, WordNet, jaro-winkler, Levens
Senti is an extensible framework for sentiment analysis and NLP on media sources. It comes with providers for the [Twitter API](https://developer.twitter.com/) and [NewsAPI](https://newsapi.org). The framework uses [AWS Comprehend](https://aws.amazon.com/
AFINN-based sentiment analysis for Node.js PS: modified by Felipe Paiva
Modern voice feedback SDK with beautiful UI components and AI-powered analysis
AFINN-based sentiment analysis for Node.js PS: modified by Aristeu Roriz for test use only
Bot Framework middleware component for the Amazon AWS Comprehend service, including sentiment analysis, language detection, entity extraction, and keyword recognition.
Bot Framework middleware core engine builder for text analysis.
Bot Framework middleware component for the Google Cloud Natural Language service, including sentiment analysis, language detection, entity extraction, and keyword recognition.
Library for NLU (Natural Language Understanding) done in Node.js (fork from node-nlp before they went for the injection route