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Abstract

Music mood is an emerging metadata type of music, but there are no well-accepted mood categories. This research proposes a new method to categorize music mood in the social context of music listening. This method combines the strength of social tags, linguistic resources and human experts. Preliminary results show that the proposed method is promising in identifying mood categories that better reflect users' actual music information behaviors.