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Conference Paper: Blog Mining: Extracting Knowledge from Blogs

TitleBlog Mining: Extracting Knowledge from Blogs
Authors
Chau, MCL
Issue Date2006
PublisherINFORMS
Citation
INFORMS International Conference (INFORMS 2006), Hong Kong, 25-28 June 2006 How to Cite?
AbstractWeb logs, or blogs, have become more widely-used in recent years. Many people are now documenting their daily lives and expressing their opinions in blogs. These blogs contain such knowledge as market trends, customers' opinions, and social relationship that were previously unavailable. In this paper, we discuss how knowledge can be extracted from blogs automatically using various text mining and web mining techniques.
Persistent Identifierhttp://hdl.handle.net/10722/112378

 

DC FieldValueLanguage
dc.contributor.authorChau, MCLen_HK
dc.date.accessioned2010-09-26T03:29:28Z-
dc.date.available2010-09-26T03:29:28Z-
dc.date.issued2006en_HK
dc.identifier.citationINFORMS International Conference (INFORMS 2006), Hong Kong, 25-28 June 2006-
dc.identifier.urihttp://hdl.handle.net/10722/112378-
dc.description.abstractWeb logs, or blogs, have become more widely-used in recent years. Many people are now documenting their daily lives and expressing their opinions in blogs. These blogs contain such knowledge as market trends, customers' opinions, and social relationship that were previously unavailable. In this paper, we discuss how knowledge can be extracted from blogs automatically using various text mining and web mining techniques.-
dc.languageengen_HK
dc.publisherINFORMS-
dc.relation.ispartofINFORMS International Conference, INFORMS 2006en_HK
dc.titleBlog Mining: Extracting Knowledge from Blogsen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailChau, MCL: mchau@business.hku.hken_HK
dc.identifier.authorityChau, MCL=rp01051en_HK
dc.identifier.hkuros121269en_HK

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