A Survey of Selected Software Technologies for Text Mining

View Sample PDF

Author(s): Richard S. Segall (Arkansas State University, USA)
Copyright: 2009
Pages: 19
Source title: Handbook of Research on Text and Web Mining Technologies
Source Author(s)/Editor(s): Min Song (New Jersey Institute of Technology, USA)and Yi-Fang Brook Wu (New Jersey Institute of Technology, USA)
DOI: 10.4018/978-1-59904-990-8.ch044

Keywords: Data Mining / Data Mining and Databases / Information Science Reference / Library & Information Science

Purchase

View A Survey of Selected Software Technologies for Text Mining on the publisher's website for pricing and purchasing information.

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.

The IRMA Community

Research IRM

A Survey of Selected Software Technologies for Text Mining

Purchase

Abstract

Related Content

IRMA Sponsors