Sentiment-analysis Packages

Very compact and simple to use sentiment analysis lib

A thin wrapper around the crunchable human-intelligence api

Predicts sentiment for English text using a pre-trained neural network.

A thin wrapper around Heat's human-intelligence api

SVM Classifier to Detect Sentiment of Tweets

A framework to classify and rephrase text/comments, turning negative comments into positive/encouraging ones and enhancing positive comments. Supports multiple languages including Indonesian.

TSP Assistant Module of Sentiment Analysis on News and Generated config based news with CLI.

ai-linkage is a comprehensive npm package that simplifies integration with top AI services and APIs. Designed for developers, ai-linkage provides a unified and user-friendly interface for connecting to popular AI platforms like OpenAI, Google Cloud AI, an

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.

Typescript / Javascript client sdk to access GPT's AI-powered conversational functionality (without OpenAI API key nor VPN)

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

Sentiment and emotion analysis cli that uses machine learning and natural language processing to identify and classify emotions in text data

Tracks and analyzes user behavior using Chrome's TextClassifier

Detects key semantic turning points in conversations using recursive semantic distance analysis. Ideal for conversation analysis, dialogue segmentation, insight detection, and AI-assisted reasoning tasks.

A Model Context Protocol (MCP) server exposing Genesys Cloud tools for LLMs, including sentiment analysis, conversation search, topic detection and more.