It's my 3rd sem project on sentiment analysis of twitter which is in R language with use of shiny package of R.Takes feeds from Twitter into R and the sentiment of the tweets is analysed and classified into positive, negative and neutral tweets. Use a single negative (eg "bad" in place of "not good") instead of negating. Clone the Repository and set the twitter authentication then replace xxx as your developer secret.Now run the app in R Studio.
🏠 Homepage
- You should have Developer Account of Twitter.
- R studio
Contributions, issues and feature requests are welcome !
Feel free to check issues page.
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Copyright © 2019 Jay Khatri.
This project is MIT licensed.
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