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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

Documentation:

Reference manual: texter.pdf

Downloads:

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

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.