KNN算法流行音乐中的情感挖掘
毕业论文关键词： 情感；流行音乐；分类；歌词 ;KNN算法
Pop Music Emotion Classification Using KNN
Abstract: In the today’s digital information era , the massive music, texts, images and other information are existing in the web.It can be seen that the Internet has a great influence on people's life. In terns of these complicated and huge songs information, how to make an efficient classification is a heat debate in the field of information retrieval. Traditional text information description based on the music retrieval has become unnormal.That is means it unable to meet people’s intelligent and personalized needs. At the same time, in the study of music emotion classification, through audio perspective, reflect the characteristics of human emotion, and emotion of music is the generally methods. This paper will have the emotional contents combined with the lyrics and music,computers, psychology and other fields of knowledge.Basing on computer domainately text classification technology, using KNN classification algorithm, this paper excavates emotion in pop music and achieves the Chinese lyrics emotion classification.
Keywords: pop music; emotion; classification; KNN
目录
1 绪论 3
1.1 研究背景 4
1.1.1 数据挖掘 4
1.1.2 情感分类 4
1.2 国内外发展现状 5
1.3论文研究内容与研究意义 6
2 音乐情感背景 7
2.1 音乐中的情感表达 7
2.2 歌词与音乐情感 7
2.3 情感的分类 7
2.4 本论文的情感分类 8
3 KNN算法 9
3.1 分类模型 9
3.2 分类算法 10
3.3 KNN算法详细介绍 11
4 总体设计 13
4.1 分类总体设计介绍 13
4.2 预处理 15
4.2.1 歌词预处理方法 15
4.2.2 歌词预处理工具 15
4.3 特征项选择 18
4.3.1 特征词汇选择 18
4.3.2 语义分析 20
4.3.3 词频统计及权重 22
4.4 具体实施步骤 23
5 实验结果与分析 24
5.1 情感词汇类别对应表修改版 24
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