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Concept-Based Text Mining

Concept-Based Text Mining

Stanley Loh, Leandro Krug Wives, Daniel Lichtnow, José Palazzo M. de Oliveira
Copyright: © 2009 |Pages: 13
ISBN13: 9781599049908|ISBN10: 1599049902|EISBN13: 9781599049915
DOI: 10.4018/978-1-59904-990-8.ch021
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MLA

Loh, Stanley, et al. "Concept-Based Text Mining." Handbook of Research on Text and Web Mining Technologies, edited by Min Song and Yi-Fang Brook Wu, IGI Global, 2009, pp. 346-358. https://doi.org/10.4018/978-1-59904-990-8.ch021

APA

Loh, S., Wives, L. K., Lichtnow, D., & de Oliveira, J. P. (2009). Concept-Based Text Mining. In M. Song & Y. Brook Wu (Eds.), Handbook of Research on Text and Web Mining Technologies (pp. 346-358). IGI Global. https://doi.org/10.4018/978-1-59904-990-8.ch021

Chicago

Loh, Stanley, et al. "Concept-Based Text Mining." In Handbook of Research on Text and Web Mining Technologies, edited by Min Song and Yi-Fang Brook Wu, 346-358. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-59904-990-8.ch021

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Abstract

The goal of this chapter is to present an approach to mine texts through the analysis of higher level characteristics (called “concepts’), minimizing the vocabulary problem and the effort necessary to extract useful information. Instead of applying text mining techniques on terms or keywords labeling or extracted from texts, the discovery process works over concepts extracted from texts. Concepts represent real world attributes (events, objects, feelings, actions, etc.) and, as seen in discourse analysis, they help to understand ideas and ideologies present in texts. A previous classification task is necessary to identify concepts inside the texts. After that, mining techniques are applied over the concepts discovered. The chapter will discuss different concept-based text mining techniques and present results from different applications.

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