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wordpredictor  

Develop Text Prediction Models Based on N-Grams
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("wordpredictor", "0.0.5")



Attach the package and use:
library("wordpredictor")
Maintained by
Nadir Latif
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-06-14
Latest Update: 2022-01-04
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>.
How to cite:
Nadir Latif (2021). wordpredictor: Develop Text Prediction Models Based on N-Grams. R package version 0.0.5, https://cran.r-project.org/web/packages/wordpredictor. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.0.1 (2021-06-14 09:40), 0.0.2 (2021-06-19 13:10), 0.0.3 (2022-01-04 15:30)
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