Text Mining
Abstract
This chapter provides a detailed look into the emerging area of text mining and text analytics. It starts with a background of the origins of text mining and provides the motivation for this fascinating topic using the example of IBM's Watson, the Jeopardy!-winning computer program that was built almost entirely using concepts from text and data mining. The chapter introduces some key concepts important in the area of text analytics such as TF-IDF scores. Finally it describes two hands-on case studies in which the reader is shown how to use RapidMiner to address problems like document clustering and automatic gender classification based on text content.
Keywords
Inverse document frequency; keyword clustering; n-grams; ...Get Predictive Analytics and Data Mining now with the O’Reilly learning platform.
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