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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, Qingyu Zhang
Copyright: © 2009 |Pages: 18
ISBN13: 9781605660608|ISBN10: 1605660604|EISBN13: 9781605660615
DOI: 10.4018/978-1-60566-060-8.ch068
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MLA

Segall, Richard S., and Qingyu Zhang. "A Survey of Selected Software Technologies for Text Mining." Software Applications: Concepts, Methodologies, Tools, and Applications, edited by Pierre F. Tiako, IGI Global, 2009, pp. 1164-1181. https://doi.org/10.4018/978-1-60566-060-8.ch068

APA

Segall, R. S. & Zhang, Q. (2009). A Survey of Selected Software Technologies for Text Mining. In P. Tiako (Ed.), Software Applications: Concepts, Methodologies, Tools, and Applications (pp. 1164-1181). IGI Global. https://doi.org/10.4018/978-1-60566-060-8.ch068

Chicago

Segall, Richard S., and Qingyu Zhang. "A Survey of Selected Software Technologies for Text Mining." In Software Applications: Concepts, Methodologies, Tools, and Applications, edited by Pierre F. Tiako, 1164-1181. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-060-8.ch068

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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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