improving music mood classification using lyrics, audio and social tags

2) Targeted music. Theoretical models were mostly designed for classical music, while there
are a variety of music genres in today’s music listening environment;
3) Numbers of categories and granularity. While theoretical models often have a handful of
mood categories, in the real world there can be more categories in a finer granularity.
Therefore, in developing music mood classification techniques for today’s music and users, MIR
researchers should extend classic mood models according to the context of targeted users and
music listening reality. For example, to classify Western popular songs, Hevner’s circle can be
adapted by introducing more categories found from social tags and trimming Clusters 1 and 5
which are mostly for classical music.
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