Skip to content

priyank04/Sentiment-Analysis-of-Twitter-Using-Shiny

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Sentiment-Analysis-of-Twitter-Using-Shiny

Getting Started

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.

Prerequisites

  1. You should have Developer Account of Twitter.
  2. R studio

License

This project is under MIT Licence- see the LICENCE.md for more details.

About

An attempt to analyse twitter data using R and Shiny Package to provide an interactive interface.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages