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'.


Reference manual

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0.1.9 by Simi Kafaru, 4 months ago

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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