作者: Melesio Crespo-Sanchez , Edwin Aldana-Bobadilla , Ivan Lopez-Arevalo , Alejandro Molina-Villegas
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摘要: One of the most important parts of the song’s content is the lyrics, in which authors expose feelings or thoughts that may reflect their way of seeing the world. This is perhaps the reason why modern techniques of mining text have been applied to lyrics to find semantic aspects that allow us to recognize emotions, topics, authorship among others. In this work, we focus on the analysis of syntactic aspects assuming that they are important elements to recognize patterns related to the writing style of an individual author or a musical genre. We present a theoretical information model-based in a corpus of lyrics, which allows finding discriminating elements in a writing style that could be used to estimate, for example, the authorship or musical genre of a given lyric.