This document discusses text mining in R. It introduces important text mining concepts like tokenization, tagging, and stemming. It outlines popular R packages for text mining like tm, SnowballC, qdap, and dplyr. The document explains how to create a corpus from text files, explore and transform a corpus, create a document term matrix, and analyze term frequencies. Visualization techniques like word clouds and heatmaps are also summarized.