Package: wordpredictor 0.0.3

wordpredictor: Develop Text Prediction Models Based on N-Grams

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.stanford.edu/~jurafsky/slp3/3.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>.

Authors:Nadir Latif [aut, cre]

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Peer review:

Bug tracker:https://github.com/pakjiddat/word-predictor/issues

On CRAN:

n-gram-language-modelsnatural-language-processingr-programming

11 exports 5 stars 1.10 score 36 dependencies 8 scripts 206 downloads

Last updated 3 years agofrom:a642b2e115. Checks:OK: 7. Indexed: yes.

Exports:BaseDataAnalyzerDataCleanerDataSamplerEnvManagerModelModelEvaluatorModelGeneratorModelPredictorTokenGeneratorTPGenerator

Dependencies:clicolorspacedigestdplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepatchworkpillarpkgconfigR6RColorBrewerrlangscalesSnowballCstringistringrtibbletidyselectutf8vctrsviridisLitewithr