shredder2003
shredder2003
/ classifytext.R
Created
October 1, 2019 12:44
— forked from primaryobjects/classifytext.R
Simple example of classifying text in R with machine learning (text-mining library, caret, and bayesian generalized linear model). Classify. tfidf tdm term document matrix
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| library(caret) | |
| library(tm) | |
| # Training data. | |
| data <- c('Cats like to chase mice.', 'Dogs like to eat big bones.') | |
| corpus <- VCorpus(VectorSource(data)) | |
| # Create a document term matrix. | |
| tdm <- DocumentTermMatrix(corpus, list(removePunctuation = TRUE, stopwords = TRUE, stemming = TRUE, removeNumbers = TRUE)) |