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textclassificationtutorial  

Reproducible Text Classification Workflows
View on CRAN: Click here


Download and install textclassificationtutorial package within the R console
Install from CRAN:
install.packages("textclassificationtutorial")

Install from Github:
library("remotes")
install_github("cran/textclassificationtutorial")

Install by package version:
library("remotes")
install_version("textclassificationtutorial", "0.1.2")



Attach the package and use:
library("textclassificationtutorial")
Maintained by
Vladimer Kobayashi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-26
Latest Update: 2026-08-26
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) <doi:10.1177/1094428117719322> The package replaces the original scripts in the paper.
How to cite:
Vladimer Kobayashi (2026). textclassificationtutorial: Reproducible Text Classification Workflows. R package version 0.1.2, https://cran.r-project.org/web/packages/textclassificationtutorial. Accessed 24 Oct. 2026.
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