bolaik / ngramtextpredictor

Coursera data science capstone project: R n-gram text predictor, shiny app

NgramTextPredictor

Coursera data science capstone project: R n-gram text predictor, shiny app

• See Word Prediction: Exploratory Data Analysis for a introduction of the details of the methods. The first model use about 5% of the whole training dataset.

• The final model uses around 10% of the whole training dataset, resulting in a 10% top one precision, 15% top three precision. The data.table is used to process data frames, making the prediction process faster.

• See the Shiny App for a demo.

• See these slides for a brief explanation of the project.

Helpful links (keeps adding)

• https://github.com/jgendron/datasciencecoursera
• https://github.com/vikasgupta1812/Coursera-capstone-project
• https://github.com/momobo/Capstone_Dryrun
• https://github.com/ThachNgocTran/KatzBackOffModelImplementationInR