DESCRIPTION

Package: wordpredictor
Title: Develop Text Prediction Models Based on N-Grams
Version: 0.0.5
URL: https://github.com/pakjiddat/word-predictor, https://pakjiddat.github.io/word-predictor/
BugReports: https://github.com/pakjiddat/word-predictor/issues
Authors@R: 
    person(given = "Nadir",
           family = "Latif",
           role = c("aut", "cre"),
           email = "pakjiddat@gmail.com",
           comment = c(ORCID = "0000-0002-7543-7405"))
Description: 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>.
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Imports: digest, ggplot2, patchwork, stringr, dplyr, SnowballC
Suggests: 
    testthat,
    covr,
    knitr,
    rmarkdown,
    markdown
VignetteBuilder: knitr
Language: en-US