Title :
Weblogs for market research: Improving opinion detection using system fusion
Author :
Osman, Deanna J. ; Yearwood, John L. ; Vamplew, Peter W.
Author_Institution :
Sch. of Inf. Technol. & Math. Sci., Univ. of Ballarat, Ballarat, VIC
fDate :
June 30 2008-July 2 2008
Abstract :
Searching for opinions on a specific product or service within blogs is a new frontier for market researchers. This research investigates the use of system fusion methods to improve mean average precision (MAP) results achieved by the Text REtrieval Conference (TREC) Blog06 participants and reports the improved MAP results. It is hypothesized that diversity of the inputs is vital to maximising the MAP improvements. This is shown in the improvement in MAP values achieved by some of the participantpsilas ranked lists. The growth in the number of blog authors who write valuable opinions about their life experiences has led to an unsolicited resource of opinions on products, politics and services. In 2006, TREC collected blogs and set a task of detecting opinions on given topics to their participants, reporting the results using MAP.
Keywords :
Web sites; market research; Weblogs; market research; mean average precision; opinion detection; system fusion; text retrieval; Australia; Blogs; Government; Information technology; Internet; Market research; Monitoring; Nominations and elections; Search engines; Fusion; Opinion Detection; TREC; Weblogs;
Conference_Titel :
Service Systems and Service Management, 2008 International Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4244-1671-4
Electronic_ISBN :
978-1-4244-1672-1
DOI :
10.1109/ICSSSM.2008.4598502
