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textclassificationtutorial: Reproducible Text Classification Workflows

Dependency-light tools and tutorials for teaching reproducible text classification. The package covers HTML text extraction, sentence segmentation, text preprocessing, document-term matrices, TF-IDF, keyword extraction, cosine similarity, stratified cross-validation, classification metrics, and a multinomial Naive Bayes classifier. It modernizes the code accompanying Kobayashi, V. B., Berkers, H. A., Mol, S. T. Kismihok, G., and Den Hartog, D. N. (2017) <doi:10.1177/1094428117719322> The package replaces the original scripts in the paper.

Version: 0.1.2
Depends: R (≥ 4.1.0)
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), xml2
Published: 2026-08-26
DOI: 10.32614/CRAN.package.textclassificationtutorial
Author: Vladimer Kobayashi [aut, cre], Stefan Mol [aut], Gabor Kismihok [aut]
Maintainer: Vladimer Kobayashi <vladimer.kobayashi at gmail.com>
BugReports: https://github.com/vkobayashi/textclassificationtutorial/issues
License: Apache License (≥ 2)
URL: https://github.com/vkobayashi/textclassificationtutorial
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: textclassificationtutorial results

Documentation:

Reference manual: textclassificationtutorial.html , textclassificationtutorial.pdf
Vignettes: Getting Started with Text Classification (source, R code)
Evaluating a Text Classifier (source, R code)

Downloads:

Package source: textclassificationtutorial_0.1.2.tar.gz
Windows binaries: r-devel: textclassificationtutorial_0.1.2.zip, r-release: textclassificationtutorial_0.1.2.zip, r-oldrel: textclassificationtutorial_0.1.2.zip
macOS binaries: r-release (arm64): textclassificationtutorial_0.1.2.tgz, r-oldrel (arm64): textclassificationtutorial_0.1.2.tgz, r-release (x86_64): textclassificationtutorial_0.1.2.tgz, r-oldrel (x86_64): textclassificationtutorial_0.1.2.tgz

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.
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