An Evaluation of Unstructured Text Mining Software

Author

Crowsey, Micah J. ; Ramstad, Amanda R. ; Gutierrez, David H. ; Paladino, Gregory W. ; White, K.P.

Author_Institution

Virginia Univ., Charlottesville

fYear

2007

fDate

27-27 April 2007

Firstpage

1

Lastpage

6

Abstract

Five text mining software tools were evaluated by four undergraduate students inexperienced in the text mining field. The software was run on the Microsoft Windows XP operating system, and employed a variety of techniques to mine unstructured text for information. The considerations used to evaluate the software included cost, ease of learning, functionality, ease of use and effectiveness. Hands on mining of text files also led us to more informative conclusions of the software. Through our evaluation we found that two software products (SAS and SPSS) had qualities that made them more desirable than the others.

Keywords

data mining; software cost estimation; software performance evaluation; software reusability; text analysis; Microsoft Windows XP operating system; SAS; SPSS; software cost; software effectiveness; software functionality; software learnability; software use; unstructured text mining software; Cost function; Data mining; Electronic mail; Engineering students; Operating systems; Pricing; Software tools; Synthetic aperture sonar; Testing; Text mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems and Information Engineering Design Symposium, 2007. SIEDS 2007. IEEE

Conference_Location

Charlottesville, VA

Print_ISBN

978-1-4244-1286-0

Electronic_ISBN

978-1-4244-1286-0

Type

conf

DOI

10.1109/SIEDS.2007.4373985

Filename

4373985