README.md
In scholbeck/livesentiment: Live Sentiment Analysis of Twitter Streams
livesentiment
Sentiment analysis of real time twitter feeds in R. I wrote this package for a Master's seminar in Statistics.
This R package provides an interactive user interface based on Shiny for analyzing the polarity of real time twitter feeds.
Having a twitter account and creating a twitter oauth in R is necessary prior to being able to use this package.
The following link provides a tutorial on how to create a twitter oath in R.
http://pablobarbera.com/big-data-upf/html/02d-twitter-streaming-data-collection.html
After saving your authentification credentials as an .rdata file, you can start the application with the liveSentiment() call and load your <my_oauth>.rdata file in the Authentification tab.
scholbeck/livesentiment documentation built on May 28, 2019, 3:42 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
livesentiment
Sentiment analysis of real time twitter feeds in R. I wrote this package for a Master's seminar in Statistics.
This R package provides an interactive user interface based on Shiny for analyzing the polarity of real time twitter feeds. Having a twitter account and creating a twitter oauth in R is necessary prior to being able to use this package.
The following link provides a tutorial on how to create a twitter oath in R. http://pablobarbera.com/big-data-upf/html/02d-twitter-streaming-data-collection.html
After saving your authentification credentials as an .rdata file, you can start the application with the liveSentiment() call and load your <my_oauth>.rdata file in the Authentification tab.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.