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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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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.