This model scores the sentiment of text with a value between 0 ("negative") , 0.5 ("neutral") up to 1 ("positive"). This model was trained on reviews. These were truncated to a maximum of 200 words and only the 20,000 most common words in the reviews are used.

This is a tweet sentiment analysis engine first written in python and then implemented in JavaScript

In this project we have developed ML algorithm for opinion & suggestion mining. We have designed our model for customers & organizations. Customers can receive the percentage of positive & negative reviews. Similarly, organizations will receive the percentage of positive and negative reviews, along with improvement tips for their product/service.

Calculate And Get Sentiment Score For Indonesian Language

Sentiment analysis on user's in game chat logs.

Grabs current trends from Twitter and displays the sentiment as well as aggregates news articles associated with each trend

Streamline and automate the process of consolidating multiple evaluations by different Hiring managers, Technical Leads, Team Leads in the candidate hiring process and generate an analysis of the all the evaluations to make hiring decisions easily and effectively.

Social media sentiment analysis app

JavaScript / Node.js Client for Isabelle

Reddit bot uses sentiment analysis to find the nicest/meanest person in a specific thread when called upon.

A web app that analyses regional sentiment towards a given topic on Twitter. This project is part of my IB CS IA Solution submission

A web application to assist in labelling twitter data, for the purpose of sentiment analysis.

Pulls latest/top 100 tweets on the searched topic and gives percent of Positivity on that topic.

This is a book analysis and recommendation system made in python and by using django framework, KNN, TF-IDF algorithm

Machine learning tweet sentiment analysis app

A simple sentiment detector open-source module for node.js

News Article NLP Evaluation

Web App Stack that Performs Live Sentiment Analysis on Twitch Chat