Mining Social Emotions from Affective Music
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چکیده
This paper is concerned with the problem of mining social emotions from music. The more and more development of music is assigned by social emotions like beat, jazz etc. Such emotions can provide us new aspect of music categorization and also help online users to select music based on sum features like melody, rhythm etc. in this paper we aim to discover the connections between emotions and affective features and based on which predict the emotions from music automatically. Keywords-Clustering, Classification, decision tree, k-mean
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تاریخ انتشار 2012