It's my 3rd sem project on sentiment analysis of tweeter 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 run the app in R Studio.
- You should have Developer Account of Twitter.
- R studio
- Isha Khimsurya --ishakhimsurya
- Jay Khatri --jayskhatri
- Priyank Shah --priyank04
This project is under MIT Licence- see the LICENCE.md for more details.