Song Genre and Artist Classification via Supervised Learning from Lyrics

نویسندگان

  • Adam Sadovsky
  • Xing Chen
چکیده

Motivation The amount of raw data available online has increased dramatically over the past few years; in order for us to maintain the usability of this data we must develop effective ways to efficiently and automatically organize it. For our CS 224N final project, we chose to develop a classifier that classifies songs into genres and/or artists based solely on their lyrics. We primarily focused on developing lyric-specific features that would allow a classifier to easily distinguish between songs from different genres.

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تاریخ انتشار 2006