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A Survey of Selected Software Technologies for Text Mining

A Survey of Selected Software Technologies for Text Mining

Richard S. Segall
Copyright: © 2009 |Pages: 19
ISBN13: 9781599049908|ISBN10: 1599049902|EISBN13: 9781599049915
DOI: 10.4018/978-1-59904-990-8.ch044
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MLA

Segall, Richard S. "A Survey of Selected Software Technologies for Text Mining." Handbook of Research on Text and Web Mining Technologies, edited by Min Song and Yi-Fang Brook Wu, IGI Global, 2009, pp. 766-784. https://doi.org/10.4018/978-1-59904-990-8.ch044

APA

Segall, R. S. (2009). A Survey of Selected Software Technologies for Text Mining. In M. Song & Y. Brook Wu (Eds.), Handbook of Research on Text and Web Mining Technologies (pp. 766-784). IGI Global. https://doi.org/10.4018/978-1-59904-990-8.ch044

Chicago

Segall, Richard S. "A Survey of Selected Software Technologies for Text Mining." In Handbook of Research on Text and Web Mining Technologies, edited by Min Song and Yi-Fang Brook Wu, 766-784. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-59904-990-8.ch044

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Abstract

This chapter presents background on text mining, and comparisons and summaries of seven selected software for text mining. The text mining software selected for discussion and comparison in this chapter are: Compare Suite by AKS-Labs, SAS Text Miner, Megaputer Text Analyst, Visual Text by Text Analysis International, Inc. (TextAI), Magaputer PolyAnalyst, WordStat by Provalis Research, and SPSS Clementine. This chapter not only discusses unique features of these text mining software packages but also compares the features offered by each in the following key steps in analyzing unstructured qualitative data: data preparation, data analysis, and result reporting. A brief discussion of Web mining and its software are also presented, as well as conclusions and future trends.

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