A survey of text classification algorithms

Charu C. Aggarwal, Cheng Xiang Zhai

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The problem of classification has been widely studied in the data mining, machine learning, database, and information retrieval communities with applications in a number of diverse domains, such as target marketing, medical diagnosis, news group filtering, and document organization. In this paper we will provide a survey of a wide variety of text classification algorithms.

Original languageEnglish (US)
Title of host publicationMining Text Data
PublisherSpringer US
Pages163-222
Number of pages60
Volume9781461432234
ISBN (Electronic)9781461432234
ISBN (Print)1461432227, 9781461432227
DOIs
StatePublished - Aug 1 2012

Keywords

  • Text Classification

ASJC Scopus subject areas

  • Computer Science(all)

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  • Cite this

    Aggarwal, C. C., & Zhai, C. X. (2012). A survey of text classification algorithms. In Mining Text Data (Vol. 9781461432234, pp. 163-222). Springer US. https://doi.org/10.1007/978-1-4614-3223-4_6