A framework for developing n-gram models for text prediction. It provides data cleaning, data sampling, extracting tokens from text, model generation, model evaluation and word prediction. For information on how n-gram models work we referred to: "Speech and Language Processing" <https://web.archive.org/web/20240919222934/https%3A%2F%2Fweb.stanford.edu%2F~jurafsky%2Fslp3%2F3.pdf>. For optimizing R code and using R6 classes we referred to "Advanced R" <https://adv-r.hadley.nz/r6.html>. For writing R extensions we referred to "R Packages", <https://r-pkgs.org/index.html>.
Version: 0.0.5 Imports: digest, ggplot2, patchwork, stringr, dplyr, SnowballC Suggests: testthat, covr, knitr, rmarkdown, markdown Published: 2024-10-08 DOI: 10.32614/CRAN.package.wordpredictor Author: Nadir Latif [aut, cre] Maintainer: Nadir Latif <pakjiddat at gmail.com> BugReports: https://github.com/pakjiddat/word-predictor/issues License: MIT + file LICENSE URL: https://github.com/pakjiddat/word-predictor, https://pakjiddat.github.io/word-predictor/ NeedsCompilation: no Language: en-US Citation: wordpredictor citation info Materials: README NEWS CRAN checks: wordpredictor results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=wordpredictor to link to this page.
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