Quantifying Lexical Novelty in Song Lyrics
Quantifying Lexical Novelty in Song Lyrics
复制标题
量化歌曲歌词中的词汇新颖性
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Ye Wang
中科院分区：
文献类型：
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作者：
R. Ellis;Zhe Xing;Jiakun Fang;Ye Wang
新奇是一种重要的心理结构，它影响感知和行为过程。在这里，我们提出了一个词汇新奇得分（LNS）的歌曲的歌词，基于语料库的统计特性的275,905歌词（可在www.smcnus.org/lyrics/）。一个抒情的水平LNS推导出作为其独特的词的逆文档频率的函数。然后使用与每个艺术家唯一关联的歌词的LNS计算艺术家级别的LNS。进行统计测试以确定Billboard杂志的“历史前100名”歌曲和艺术家名单上的歌词和艺术家是否比“非顶级”歌曲和艺术家具有显著更低的LNS。在这两种情况下都发现了肯定和高度一致的答案。这些结果突出了LNS作为MIR功能的潜在实用性。
Novelty is an important psychological construct that affects both perceptual and behavioral processes. Here, we propose a lexical novelty score (LNS) for a song’s lyric, based on the statistical properties of a corpus of 275,905 lyrics (available at www.smcnus.org/lyrics/). A lyric-level LNS was derived as a function of the inverse document frequencies of its unique words. An artist-level LNS was then computed using the LNSs of lyrics uniquely associated with each artist. Statistical tests were performed to determine whether lyrics and artists on Billboard Magazine’s lists of “All-Time Top 100” songs and artists had significantly lower LNSs than “non-top” songs and artists. An affirmative and highly consistent answer was found in both cases. These results highlight the potential utility of the LNS as a feature for MIR.
影响因子：
120.7
作者：
Berland, GK;Elliott, MN;McGlynn, EA
通讯作者：
McGlynn, EA