Mining music reviews: Promising preliminary results

Xiao Hu, J. Stephen Downie, Kris West, Andreas Ehmann

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

Abstract

In this paper we present a system for the automatic mining of information from music reviews. We demonstrate a system which has the ability to automatically classify reviews according to the genre of the music reviewed and to predict the simple one-to-five star rating assigned to the music by the reviewer. This experiment is the first step in the development of a system to automatically mine arbitrary bodies of text, such as weblogs (blogs) for musically relevant information.

Original languageEnglish (US)
Title of host publicationISMIR 2005 - 6th International Conference on Music Information Retrieval
Pages536-539
Number of pages4
StatePublished - 2005
Event6th International Conference on Music Information Retrieval, ISMIR 2005 - London, United Kingdom
Duration: Sep 11 2005Sep 15 2005

Publication series

NameISMIR 2005 - 6th International Conference on Music Information Retrieval

Other

Other6th International Conference on Music Information Retrieval, ISMIR 2005
Country/TerritoryUnited Kingdom
CityLondon
Period9/11/059/15/05

Keywords

  • Data mining
  • Genre
  • Music reviews
  • Rating
  • Text classification

ASJC Scopus subject areas

  • Music
  • Information Systems

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