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Conference Paper: Review mining for music digital libraries: Phase II

TitleReview mining for music digital libraries: Phase II
Authors
KeywordsDescriptive patterns
Frequent pattern mining
Music reviews
Music Digital Libraries (MDL)
Automation
Data mining
Information science
Pattern recognition
User interfaces
Digital libraries
Issue Date2006
Citation
The 6th ACM/IEEE-CS Joint Conference on Digital Libraries 2006: Opening Information Horizons(JCDL06),Chapel Hill, NC, 11-15 June 2006. In Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2006, v. 2006, p. 196-197 How to Cite?
AbstractWe continue our work on the automatic mining of user-created music reviews towards the goal of connecting user opinions to music objects in Music Digital Libraries (MDL). We demonstrate an experimental system which automatically discovered the key descriptive patterns that differentiated positive from negative reviews which helps us to better understand our successful Phase I results. Comparison to an earlier study indicates an important consistency across projects that warrants further investigation. Copyright 2006 ACM.
Descriptionhttp://www.scopus.com/inward/record.url?eid=2-s2.0-34247211689&partnerID=40&md5=198b8ce94c0c751fe782ce42112fbbfb
Persistent Identifierhttp://hdl.handle.net/10722/180708
ISBN
ISSN

 

DC FieldValueLanguage
dc.contributor.authorDownie, JSen_US
dc.contributor.authorHu, Xen_US
dc.date.accessioned2013-01-28T01:41:32Z-
dc.date.available2013-01-28T01:41:32Z-
dc.date.issued2006en_US
dc.identifier.citationThe 6th ACM/IEEE-CS Joint Conference on Digital Libraries 2006: Opening Information Horizons(JCDL06),Chapel Hill, NC, 11-15 June 2006. In Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2006, v. 2006, p. 196-197en_US
dc.identifier.isbn1595933549en_US
dc.identifier.isbn9781595933546en_US
dc.identifier.issn1552-5996en_US
dc.identifier.urihttp://hdl.handle.net/10722/180708-
dc.descriptionhttp://www.scopus.com/inward/record.url?eid=2-s2.0-34247211689&partnerID=40&md5=198b8ce94c0c751fe782ce42112fbbfben_US
dc.description.abstractWe continue our work on the automatic mining of user-created music reviews towards the goal of connecting user opinions to music objects in Music Digital Libraries (MDL). We demonstrate an experimental system which automatically discovered the key descriptive patterns that differentiated positive from negative reviews which helps us to better understand our successful Phase I results. Comparison to an earlier study indicates an important consistency across projects that warrants further investigation. Copyright 2006 ACM.en_US
dc.languageengen_US
dc.subjectDescriptive patternsen_US
dc.subjectFrequent pattern miningen_US
dc.subjectMusic reviewsen_US
dc.subjectMusic Digital Libraries (MDL)en_US
dc.subjectAutomationen_US
dc.subjectData miningen_US
dc.subjectInformation scienceen_US
dc.subjectPattern recognitionen_US
dc.subjectUser interfacesen_US
dc.subjectDigital librariesen_US
dc.titleReview mining for music digital libraries: Phase IIen_US
dc.typeConference_Paperen_US
dc.identifier.emailHu, X: xiaoxhu@hku.hken_US
dc.identifier.authorityHu, X=rp01711en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1145/1141753.1141796en_US
dc.identifier.scopuseid_2-s2.0-34247211689-
dc.identifier.volume2006en_US
dc.identifier.spage196en_US
dc.identifier.epage197en_US
dc.publisher.placeChapel Hill, NCen_US

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