An Easy Text and Sentiment Analysis Library

Implement text and sentiment analysis with 'texter'. Generate sentiment scores on text data and also visualize sentiments. 'texter' allows you to quickly generate insights on your data. It includes support for lexicons such as 'NRC' and 'Bing'.


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Reference manual

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install.packages("texter")

0.1.9 by Simi Kafaru, 4 days ago


https://github.com/simmieyungie/texter


Report a bug at https://github.com/simmieyungie/texter/issues


Browse source code at https://github.com/cran/texter


Authors: Simi Kafaru [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports dplyr, plyr, ggplot2, magrittr, stringr, purrr, stopwords, textdata, tidytext, tidyr

Suggests testthat


See at CRAN