文章基本信息

标题：Mining Social Emotions from Affective Music
本地全文：下载
作者：Meenu ; Shaveta
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2012
卷号：3
期号：6
页码：5400-5401
出版社：TechScience Publications
摘要：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.
关键词：Clustering; Classification; decision tree; k-mean