Oh Oh Oh Whoah! Towards Automatic Topic Detection In Song Lyrics
Oh Oh Oh Whoah! Towards Automatic Topic Detection In Song Lyrics
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哦哦哦哇哦！
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
Tim Pohle
中科院分区：
文献类型：
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作者：
F. Kleedorfer;Peter Knees;Tim Pohle
我们提出了一个算法，允许索引音乐的主题。该应用场景是一个信息检索系统，其中任何已知歌词的歌曲都可以插入和索引，以便使音乐收藏可按主题浏览。我们使用文本挖掘技术创建一个向量空间模型，我们的歌词收集和非负矩阵分解（NMF），以确定主题集群，然后手动标记。我们包括一个讨论的决定参数化的应用方法。我们的方法的适用性进行评估，通过测量的协议测试对象提供的标签的主题集群。
We present an algorithm that allows for indexing music by topic. The application scenario is an information retrieval system into which any song with known lyrics can be inserted and indexed so as to make a music collection browseable by topic. We use text mining techniques for creating a vector space model of our lyrics collection and non-negative matrix factorization (NMF) to identify topic clusters which are then labeled manually. We include a discussion of the decisions regarding the parametrization of the applied methods. The suitability of our approach is assessed by measuring the agreement of test subjects who provide the labels for the topic clusters.