An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more

AFINN-based sentiment analysis for Node.js.

Developer friendly Natural Language Processing ✨

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

Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon

Machine learning based text classification in JavaScript using n-grams and cosine similarity

Natural Language Processing for Spanish in Node.js. Stemmer, sentiment analysis, readability, tf-idf with batteries, concordance and more!

🎤 Lyrics/associated NLP data for Billboard's Top 100, 1950-2015.

tipranks.com API to access price targets, news sentiments and trending stocks.

This lab is about how to add the AI and ML cloud service feature to your web application with React and the Amplify Framework.

Accurate and fast sentiment scoring of phrases with #hashtags, emoticons :) & emojis 🎉

The Engagement Meter calculates and shows engagement levels of an audience participating in a meeting

An Alchemy API library for Node.JS

NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, code generation, and much more...

Our project for The Microsoft Azure Trial Hackathon on Dev.to

Naive Bayes Text Classifier

Stock price prediction using Bidirectional LSTM and sentiment analysis

ML that can extract german and english sentiment

Main idea is to get an comprehensive idea about a certain stock with prediction values for next few days; sentiment analysis on the news related to stocks and many more visualizations with built in comparison feature which support a powerful search engine.

Voice of the Customer (VoC) to enhance customer experience with serverless architecture and sentiment analysis, using Amazon Kinesis, Amazon Athena, Amazon QuickSight, Amazon Comprehend, and ChatGPT-LLMs for sentiment analysis.