Mining frequent patterns without candidate generation
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Generating fine-grained reviews of songs from album reviews
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Visual expression for organizing and accessing music collections in MusicWiz
ECDL'10 Proceedings of the 14th European conference on Research and advanced technology for digital libraries
Music review classification enhanced by semantic information
APWeb'11 Proceedings of the 13th Asia-Pacific web conference on Web technologies and applications
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We 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.