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Text Mining

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Principles of Data Mining

Part of the book series: Undergraduate Topics in Computer Science ((UTICS))

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Abstract

This chapter looks at a particular type of classification task, where the objects are text documents. A method of processing the documents for use by the classification algorithms given earlier in this book using a bag-of-words representation is described.

An important special case of text classification arises when the documents are web pages. The automatic classification of web pages is known as hypertext categorisation. The differences between standard text classification and hypertext categorisation are illustrated and issues relating to the latter are discussed.

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© 2013 Springer-Verlag London

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Bramer, M. (2013). Text Mining. In: Principles of Data Mining. Undergraduate Topics in Computer Science. Springer, London. https://doi.org/10.1007/978-1-4471-4884-5_20

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  • DOI: https://doi.org/10.1007/978-1-4471-4884-5_20

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4883-8

  • Online ISBN: 978-1-4471-4884-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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