Package: textclassificationtutorial Title: Reproducible Text Classification Workflows Version: 0.1.2 Authors@R: c( person("Vladimer", "Kobayashi", role = c("aut", "cre"), email = "vladimer.kobayashi@gmail.com"), person("Stefan", "Mol", role = "aut"), person("Gabor", "Kismihok", role = "aut") ) Description: 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) The package replaces the original scripts in the paper. License: Apache License (>= 2) URL: https://github.com/vkobayashi/textclassificationtutorial BugReports: https://github.com/vkobayashi/textclassificationtutorial/issues Depends: R (>= 4.1.0) Suggests: knitr, rmarkdown, testthat (>= 3.0.0), xml2 VignetteBuilder: knitr Config/testthat/edition: 3 Encoding: UTF-8 Config/roxygen2/version: 8.0.0 NeedsCompilation: no Packaged: 2026-09-26 09:58:27 UTC; root Author: Vladimer Kobayashi [aut, cre], Stefan Mol [aut], Gabor Kismihok [aut] Maintainer: Vladimer Kobayashi Repository: https://vkobayashi.r-universe.dev Date/Publication: 2026-08-26 20:15:00 UTC RemoteUrl: https://github.com/cran/textclassificationtutorial RemoteRef: HEAD RemoteSha: 9338ed09b2bfd2b66a96c44a79608b1499be39d0