This R tutorial provides a basic introduction to one of the easier forms of text analysis to learn -- lexicon-based sentiment analysis. This tutorial is inspired by Silge and Robinson's "Text Mining in R: A Tidy Approach," which you can find here: [ Ссылка ].

March 28, 2022: Due to changes in tidytext package, the following steps need to be augmented/altered:

+ First, when installing the tidytext package, be sure to also install the stopwords package; doing so will allow you to use the get_stopwords function from tidytext.

install.packages("stopwords")

+ To access the AFINN dictionary, you will need to install the textdata package.

install.packages("textdata")

+ The get_sentiments function from tidytext now labels the sentiment score column/variable as value, whereas previously it defaulted to score. Thus, all references made to a score variable in the video tutorial should now be replaced with value.

For a conceptual overview of text analysis, please see the following video: [ Ссылка ].

Other videos from my "R Tutorials" playlist can be found here: [ Ссылка ]...

The data file(s) referenced in this R tutorial (and other R tutorials on this playlist) can be downloaded as a compressed (zipped) folder by visiting the following link: [ Ссылка ].... Click "Clone or Download" followed by "Download ZIP".

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