In this repo, you will find tutorials on how to conduct sentiment analysis in R (and soon Python). The packages used identify various sentiment values of text data, including the compound valence score, positive frequency weighting, neutral frequency weighting, and negative frequency weighting.
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vader.Rmd: This tutorial is original work by @mchiovaro, and uses the vader package for sentiment analysis. No external data is needed for this tutorial. -
tinytext.R: This tutorial was created by @rtatman at Kaggle, and uses tinytext for sentiment analysis. It is included here to demonstrate an alternative way of conducting the analysis without using the 'vader' package.
Data in the archive file (used in the tinytext.R tutorial) are State of the Union address transcripts downloaded from https://www.kaggle.com/rtatman/tutorial-sentiment-analysis-in-r.