Sentiment Analysis

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.

A collection of sentiment lists for different languages and contexts inspired by AFINN

AFINN-based sentiment analysis for Node.js. Prepared for different languages and context list

AFINN-based sentiment analysis for Node.js

sentimentals analysis for "tretas".

An universal client for the Sentiment Analysis Models API written in Typescript

Bot Framework middleware component for the Google Cloud Natural Language service, including sentiment analysis, language detection, entity extraction, and keyword recognition.

cli to scan piped text streams or start a web service for sentimint analysis. uses 'sentiment' by diy

Collection of functions for sentiment analysis

Official Streamshield npm library

A utility for sentiment analysis and text generation.

DataFire integration for Text Analytics & Sentiment Analysis API | api.text2data.com

NLP (natural language processing) for server and the browser in TypeScript. All lightweight and super-fast.

Welcome to **@optimaxer/web-classifier**, a powerful JavaScript library designed for natural language text classification. Whether you are building a customer feedback analysis tool, a sentiment analysis application, or any other system that requires text

Textual analysis tools for JavaScript.

A lightweight JavaScript library for basic text analysis operations like summarization, sentiment analysis, keyword extraction, and classification.

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

A combined experience of sentiment analysis, bad-word detection and filteration with power to get adjectives, nouns and verbs from a string.

Node-DLP sentiment analysis

Language sentiment analysis and neural networks... for trolls.

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

SVM Classifier to Detect Sentiment of Tweets

Multilanguage AFINN-based sentiment analysis for Node.js

Sentiment Analysis and Opinion Mining

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

A library to visualize business intelligence derived from sentiment analysis on product reviews

> A sentiment analysis library for tweet objects and strings

This is a NodeJS Client Library for the sentiment140 Natural Language Processing Service API

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

Swedish translated, tuned for races, AFINN-based sentiment analysis for Node.js

Swedish translated, AFINN-based sentiment analysis for Node.js

CLI tool to perform NLP on selected files

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

**palm_toolkit** is a JavaScript module that simplifies various text-related tasks using the Google's PaLM API. This toolkit includes functions for text generation, translation, summarization, sentiment analysis, question answering, and text classificatio

**palm_toolkit** is a JavaScript module that simplifies various text-related tasks using the Google's PaLM API. This toolkit includes functions for text generation, translation, summarization, sentiment analysis, question answering, and text classificatio

AFINN-based sentiment analysis for Node.js

A multi-lingual sentiment analysis and bad words detection library for Node.js, based on AFINN.

AFINN-based sentiment analysis for Node.js (multilingual fork)

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 PS: modified by Felipe Paiva

AFINN-based sentiment analysis for Node.js

This package provides a simple NLP class using the Natural library for performing basic NLP tasks like tokenization, part-of-speech tagging, and sentiment analysis. Users can install it via npm and then import and instantiate the NLP class in their JavaSc