text2emotion: Emotion Analysis and Emoji Mapping for Text

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
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

Documentation:

Reference manual:	text2emotion.pdf
Vignettes:	text2emotion (source, R code)

Downloads:

Package source:	text2emotion_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, 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

Linking:

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