wordpredictor-package: wordpredictor: Develop Text Prediction Models Based on...

In wordpredictor: Develop Text Prediction Models Based on N-Grams

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.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>.

Author(s)

Maintainer: Nadir Latif [e-mail] (ORCID)

See Also

Useful links:

• https://github.com/pakjiddat/word-predictor

• https://pakjiddat.github.io/word-predictor/

• Report bugs at https://github.com/pakjiddat/word-predictor/issues

wordpredictor documentation built on Jan. 4, 2022, 5:07 p.m.