Sentiment Packages

Get sentiment and toxicity of a text.

A set of natural language processing functions for generating and optimizing Reddit post content.

Collection of functions for sentiment analysis

Automatically moderate your content with Moderation API

Quantitative sentiment rating interface for Directus

Calculate And Get Sentiment News Score

Multilanguage and emojis AFINN-based sentiment analysis for Node.js

A library for filtering and categorizing incoming messages based on content, sentiment, or other criteria.

Make your app understand language. Summarize conversations, categorize articles, and more.

基于本地化的AFINN的中文nodejs情感分析库with browser && electron support

A lightweight and easy-to-use npm package for performing sentiment analysis on text. Analyze the positivity, negativity, or neutrality of any string input with ease, and process multiple texts in batch for more efficient analysis.

Access unstructured data from social media about stocks as quantitative metric - see https://sentimentinvestor.com.

Languages for sentiment

Analyze strings based on sentiment and keyword strength using synonyms and related concepts

Powerful cloud-based API for sentiment detection

sensus is an abstraction layer to use various AI/ML APIs/services like detecting emotions in text i.e. sentiment analysis

Node-RED nodes for Google Cloud Platform

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

Node-RED nodes for Google Cloud Platform

Detect the polarity of text. Includes tweak to work with webpack.