Review mining for music digital libraries: Phase II

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publication6th ACM/IEEE-CS Joint Conference on Digital Libraries 2006
Subtitle of host publicationOpening Information Horizons, JCDL '06
Pages196-197
Number of pages2
DOIs
StatePublished - 2006
Event6th ACM/IEEE-CS Joint Conference on Digital Libraries 2006: Opening Information Horizons, JCDL '06 - Chapel Hill, NC, United States
Duration: Jun 11 2006Jun 15 2006

Publication series

NameProceedings of the ACM/IEEE Joint Conference on Digital Libraries
Volume2006
ISSN (Print)1552-5996

Other

Other6th ACM/IEEE-CS Joint Conference on Digital Libraries 2006: Opening Information Horizons, JCDL '06
Country/TerritoryUnited States
CityChapel Hill, NC
Period6/11/066/15/06

Keywords

  • Descriptive patterns
  • Frequent pattern mining
  • Music reviews

ASJC Scopus subject areas

  • General Engineering

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