Title :
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
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;
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
DOI :
10.1109/SIEDS.2007.4373985
