Refers to a subset of data mining concerned with extracting information from data in the form of text by recognizing patterns. The goal of text mining is often to classify a given document into one of a number of categories in an automatic way, and to improve this performance dynamically, making it an example of machine learning. One example of this type of text mining are spam filters used for email.

Text Mining is a process of deriving high-quality information from unstructured (textual) information. Possible applications for text-mining are

  • Comments of Survey responses
  • Customer messages, emails, complaints etc.
  • Investigating competitors by crawling their web sites

More about text mining in below links.

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