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.
Stars
2
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Dec 07, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Awais-Asghar/SentimentFlow-RNN-and-LSTM-Powered-Tweet-Analysis"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Zephery/weiboanalysis
微博情感分析，文本分类，毕业设计项目
abdulfatir/twitter-sentiment-analysis
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
lunarwhite/covid-social-analysis
Apply ML on weibo sentiment. 疫情背景下微博文本情感分析与可视化
fhamborg/NewsMTSC
Target-dependent sentiment classification in news articles reporting on political events....
pmsosa/CS291K
🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models