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Generating fine-grained reviews of songs from album reviews

Published: 11 July 2010 Publication History

Abstract

Music Recommendation Systems often recommend individual songs, as opposed to entire albums. The challenge is to generate reviews for each song, since only full album reviews are available on-line. We developed a summarizer that combines information extraction and generation techniques to produce summaries of reviews of individual songs. We present an intrinsic evaluation of the extraction components, and of the informativeness of the summaries; and a user study of the impact of the song review summaries on users' decision making processes. Users were able to make quicker and more informed decisions when presented with the summary as compared to the full album review.

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Cited By

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  • (2015)Sentiment analysisInformation Sciences: an International Journal10.1016/j.ins.2015.03.040311:C(18-38)Online publication date: 1-Aug-2015

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cover image DL Hosted proceedings
ACL '10: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
July 2010
1618 pages
  • Program Chair:
  • Jan Hajič

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Association for Computational Linguistics

United States

Publication History

Published: 11 July 2010

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Overall Acceptance Rate 85 of 443 submissions, 19%

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  • (2015)Sentiment analysisInformation Sciences: an International Journal10.1016/j.ins.2015.03.040311:C(18-38)Online publication date: 1-Aug-2015

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