Investigation of text mining tools using R, including bag-of-word models, and information retrieval using the term frequency-inverse document frequency (tf-idf) approach. Advanced topics such as document clustering are considered. A variety of types of texts are analyzed from tweets from Twitter to digitized books from Project Gutenberg.
Prerequisites: DATA 511 or permission of department chair.
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