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Text Mining

Text Mining

Antonina Durfee
Copyright: © 2008 |Pages: 12
ISBN13: 9781599048574|ISBN10: 1599048574|EISBN13: 9781599048581
DOI: 10.4018/978-1-59904-857-4.ch054
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MLA

Durfee, Antonina. "Text Mining." Handbook of Research on Public Information Technology, edited by G. David Garson and Mehdi Khosrow-Pour, D.B.A., IGI Global, 2008, pp. 592-603. https://doi.org/10.4018/978-1-59904-857-4.ch054

APA

Durfee, A. (2008). Text Mining. In G. Garson & M. Khosrow-Pour, D.B.A. (Eds.), Handbook of Research on Public Information Technology (pp. 592-603). IGI Global. https://doi.org/10.4018/978-1-59904-857-4.ch054

Chicago

Durfee, Antonina. "Text Mining." In Handbook of Research on Public Information Technology, edited by G. David Garson and Mehdi Khosrow-Pour, D.B.A., 592-603. Hershey, PA: IGI Global, 2008. https://doi.org/10.4018/978-1-59904-857-4.ch054

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Abstract

Massive quantities of information continue accumulating at about 1.5 billion gigabytes per year in numerous repositories held at news agencies, at libraries, on corporate intranets, on personal computers, and on the Web. A large portion of all available information exists in the form of text. Researchers, analysts, editors, venture capitalists, lawyers, help desk specialists, and even students are faced with text analysis challenges. Text mining tools aim at discovering knowledge from textual databases by isolating key bits of information from large amounts of text, identifying relationships among documents. Text mining technology is used for plagiarism and authorship attribution, text summarization and retrieval, and deception detection.

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