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Allows users to analyze text and classify emotions such as happiness, sadness, anger, fear, and neutrality. It combines text preprocessing, TF-IDF (Term Frequency-Inverse Document Frequency) feature extraction, and Random Forest classification to predict emotions and map them to corresponding emojis for enhanced sentiment visualization.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.4.0) |
| Imports: | stringr, textclean, magrittr, text2vec, ranger, caret, parallel, stats, Matrix |
| Suggests: | rmarkdown, knitr, testthat (≥ 3.0.0) |
| Published: | 2025-05-12 |
| DOI: | 10.32614/CRAN.package.text2emotion |
| Author: | Yusong Zhao [aut], Fangyi Wang [aut, cre], Zisheng Qu [aut] |
| Maintainer: | Fangyi Wang <123090550 at link.cuhk.edu.cn> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | text2emotion results |
| Reference manual: | text2emotion.pdf |
| Vignettes: |
text2emotion (source, R code) |
| Package source: | text2emotion_0.1.0.tar.gz |
| Windows binaries: | r-devel: text2emotion_0.1.0.zip, r-release: text2emotion_0.1.0.zip, r-oldrel: not available |
| macOS binaries: | r-release (arm64): text2emotion_0.1.0.tgz, r-oldrel (arm64): text2emotion_0.1.0.tgz, r-release (x86_64): text2emotion_0.1.0.tgz, r-oldrel (x86_64): text2emotion_0.1.0.tgz |
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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.
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