twitter-sentiment-analysis and SentimentFlow-RNN-and-LSTM-Powered-Tweet-Analysis

About twitter-sentiment-analysis

abdulfatir/twitter-sentiment-analysis

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

This project helps social media analysts, marketers, or researchers understand public opinion by analyzing Twitter data. You provide a CSV file of tweets, some labeled as positive or negative, and it outputs predictions of sentiment for new, unlabeled tweets. It helps you quickly gauge sentiment trends without manual review.

About SentimentFlow-RNN-and-LSTM-Powered-Tweet-Analysis

Awais-Asghar/SentimentFlow-RNN-and-LSTM-Powered-Tweet-Analysis

People share opinions on Twitter every second. Companies, governments, and researchers want to know what people feel about products, events, or topics in real time. Reading tweets manually is impossible at scale. SentimentFlow is a deep learning based sentiment analysis project for tweets. It trains two models like a basic RNN and an LSTM network.