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wordpredictor
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
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First Published: 2021-06-14
Latest Update: 2024-10-08
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 05 Aug. 2026.
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Complete documentation for wordpredictor
Functions, R codes and Examples using
the wordpredictor R package
Some associated functions: Base . DataAnalyzer . DataCleaner . DataSampler . EnvManager . Model . ModelEvaluator . ModelGenerator . ModelPredictor . TPGenerator . TokenGenerator . wordpredictor-package .
Some associated R codes: base.R . data-analyzer.R . data-cleaner.R . data-sampler.R . env-manager.R . model-evaluator.R . model-generator.R . model-predictor.R . model.R . token-generator.R . tp-generator.R . wordpredictor-package.R . Full wordpredictor package functions and examples
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