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
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
Make your app understand language. Summarize conversations, categorize articles, and more.
AI-driven tool for translation, summarization, text moderation, and sensitive image detection.
Text miner, polarity rater with results between -100% and +100%
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
Naive Bayes Text Classifier
Intento API Client Library for Node.js
Accurate and fast sentiment scoring of phrases with emoticons :) & emojis 🎉
Multi language AFINN-based sentiment analysis for 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
Automatically moderate your content with Moderation API
Official Streamshield npm library
Library for NLU (Natural Language Understanding) done in Node.js
Rosette API Node.js client SDK
Classified facial expression emoticons database with polarity, used for the emotional sentiment analysis package
Multilanguage AFINN-based sentiment analysis for Node.js
Very compact and simple to use sentiment analysis lib
nlp.js from axa-group in typescript 🚀. NLP library for building bots 🤖, with entity extraction, sentiment analysis, automatic language identification, and more.
Sentiment analysis is the process of detecting positive or negative sentiment in text
AFINN-based sentiment analysis for Node.js
Collection of functions for sentiment analysis
Receives up-to-date cryptocurrency rates without delays
Sentiment Analysis is a simple tool for analyzing the sentiment of a text. It returns the sentiment score and the sentiment label.
Package to help you find the perfect emoji based on contextual analysis. Returns set of emojis that closely match the intended sentiment or meaning. Ideal for social media posts, chat bots, or any other text that can benefit with expressive emojis. Start
Typescript / Javascript client sdk to access GPT's AI-powered conversational functionality (without OpenAI API key nor VPN)
Library for NLU (Natural Language Understanding) done in Node.js (fork from node-nlp before they went for the injection route
Utility for processing text using AI. Summarize, analyze, extract, translate, format, and more! ✨
Multilanguage and emojis AFINN-based sentiment analysis for Node.js
Tools to analyse sentiment in the browser
Moodify-JS is JS library that combines sentiment analysis with music suggestions. Analyze the sentiment of a given text and get the music recommendations that match the detected mood.
AFINN-based sentiment analysis for Node.js
This library was generated with [Angular CLI](https://github.com/angular/angular-cli) version 14.0.0.
Bot Framework middleware component for the Google Cloud Natural Language service, including sentiment analysis, language detection, entity extraction, and keyword recognition.
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
AFINN-based sentiment analysis for Node.js. Prepared for different languages and context list