DocumentCode :
2894618
Title :
Modeling Web Crawler Wrappers to Collect User Reviews on Shopping Mall with Various Hierarchical Tree Structure
Author :
Kang, Hanhoon ; Yoo, Seong Joon ; Han, Dongil
Author_Institution :
Sch. of Comput. Eng., Sejong Univ., Seoul, South Korea
fYear :
2009
fDate :
7-8 Nov. 2009
Firstpage :
69
Lastpage :
73
Abstract :
Along with the increased number of Internet shopping mall users, high quantities of reviews on products are often found in many shopping malls. In order to extract effective information from those reviews, many studies on opinion mining have been actively performed. Due to the various type of structure of shopping malls, it is difficult to apply a single Web crawler on all the shopping malls, so proper Web crawler models need to be implemented for each shopping mall. The core technique of constructing the appropriate Web crawler is the Wrapper, and in this study, wrapper models for product reviewing Web crawlers are suggested, designed, and implemented for four large shopping malls.
Keywords :
Internet; data mining; information retrieval; retail data processing; software agents; Internet shopping; Web crawler wrappers; hierarchical tree structure; opinion mining; shopping mall; user reviews; Crawlers; Data analysis; Data mining; Information systems; Internet; Performance analysis; Search engines; Tree data structures; Uniform resource locators; Web page design; user reviews; web crawler; wrapper;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Information Systems and Mining, 2009. WISM 2009. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3817-4
Type :
conf
DOI :
10.1109/WISM.2009.22
Filename :
5368136
Link To Document :
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