Research on Music Emotion Classification Based on the Feature Model of Emotion Category Contribution

被引：0

作者：

Zhong, Jin ^{[1
,2
]}

Zhong, Wen-Zhe ^{[3
]}

Wu, Wei ^{[4
]}

机构：

[1] HeFei Normal Univ, Sch Comp Sci & Technol, Hefei 230061, Anhui, Peoples R China

[2] Chinese Univ Sci & Technol, Coll Comp Sci & Technol, Hefei, Anhui, Peoples R China

[3] Anhui Polytech Univ, Elect Engn Coll, Wuhu, Peoples R China

[4] Xi An Jiao Tong Univ, Dept Comp Sci & Technol, Xian, Shaanxi, Peoples R China

来源：

2018 INTERNATIONAL CONFERENCE ON BIG DATA AND ARTIFICIAL INTELLIGENCE (BDAI 2018) | 2018年

关键词：

vector space; Contribution model; Emotional classification; Dimension; Improved classification dimension decision fusion Introduction;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

There are problems in the text vector space model: the high dimension causes the sparsity of the vector space, the classification contribution is lower, and the classification accuracy, etc. The characteristic model for the contribution of special words to the emotion category is presented, An improved classification dimension decision fusion method based on the combination of audio features and lyrics features, Experimental results show that this method has good classification effect.

引用

页码：58 / 61

页数：4

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