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.
1,643 stars. No commits in the last 6 months.
Use this if you need to quickly determine the overall positive or negative sentiment of a collection of tweets for reporting or decision-making.
Not ideal if you need to analyze sentiment on platforms other than Twitter, require real-time analysis, or need explanations for specific sentiment classifications.
Stars
1,643
Forks
608
Language
Python
License
MIT
Category
Last pushed
Feb 27, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/abdulfatir/twitter-sentiment-analysis"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Related frameworks
Zephery/weiboanalysis
微博情感分析，文本分类，毕业设计项目
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
JosephAssaker/Twitter-Sentiment-Analysis-Classical-Approach-VS-Deep-Learning
This project's aim, is to explore the world of Natural Language Processing (NLP) by building...