texter: 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'.

Version: 0.1.9
Depends: R (≥ 2.14)
Imports: dplyr, plyr, ggplot2, magrittr, stringr, purrr, stopwords, textdata, tidytext, tidyr
Suggests: testthat (≥ 3.0.0)
Published: 2021-09-20
DOI: 10.32614/CRAN.package.texter
Author: Simi Kafaru [aut, cre]
Maintainer: Simi Kafaru <kafarusimileoluwa at gmail.com>
BugReports: https://github.com/simmieyungie/texter/issues
License: MIT + file LICENSE
URL: https://github.com/simmieyungie/texter
NeedsCompilation: no
Materials: README
CRAN checks: texter results


Reference manual: texter.pdf


Package source: texter_0.1.9.tar.gz
Windows binaries: r-devel: texter_0.1.9.zip, r-release: texter_0.1.9.zip, r-oldrel: texter_0.1.9.zip
macOS binaries: r-release (arm64): texter_0.1.9.tgz, r-oldrel (arm64): texter_0.1.9.tgz, r-release (x86_64): texter_0.1.9.tgz, r-oldrel (x86_64): texter_0.1.9.tgz
Old sources: texter archive


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