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Machine Learning Applications in Mega-Text Processing

Machine Learning Applications in Mega-Text Processing

Marina Sokolova, Stan Szpakowicz
Copyright: © 2010 |Pages: 23
ISBN13: 9781605667669|ISBN10: 1605667668|EISBN13: 9781605667676
DOI: 10.4018/978-1-60566-766-9.ch015
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MLA

Sokolova, Marina, and Stan Szpakowicz. "Machine Learning Applications in Mega-Text Processing." Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques, edited by Emilio Soria Olivas, et al., IGI Global, 2010, pp. 325-347. https://doi.org/10.4018/978-1-60566-766-9.ch015

APA

Sokolova, M. & Szpakowicz, S. (2010). Machine Learning Applications in Mega-Text Processing. In E. Olivas, J. Guerrero, M. Martinez-Sober, J. Magdalena-Benedito, & A. Serrano López (Eds.), Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques (pp. 325-347). IGI Global. https://doi.org/10.4018/978-1-60566-766-9.ch015

Chicago

Sokolova, Marina, and Stan Szpakowicz. "Machine Learning Applications in Mega-Text Processing." In Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques, edited by Emilio Soria Olivas, et al., 325-347. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-766-9.ch015

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Abstract

This chapter presents applications of machine learning techniques to problems in natural language processing that require work with very large amounts of text. Such problems came into focus after the Internet and other computer-based environments acquired the status of the prime medium for text delivery and exchange. In all cases which the authors discuss, an algorithm has ensured a meaningful result, be it the knowledge of consumer opinions, the protection of personal information or the selection of news reports. The chapter covers elements of opinion mining, news monitoring and privacy protection, and, in parallel, discusses text representation, feature selection, and word category and text classification problems. The applications presented here combine scientific interest and significant economic potential.

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