Text mining is a relatively new area that has seen a recent explosion in interest. It uses techniques from statistics, data mining and computer science and there is a need for a book that brings all these techniques together. This book fills that gap, presenting an overview of text mining methods with real examples and R code integrated throughout. It covers all the key topics, including data cleaning, text classification, and natural language processing, as well as applications to social media. All code and data are made available to supplement the book, which could be used as a textbook or reference.
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