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It’s only Words and Words Are All I Have

  • Manash Pratim Barman
  • Kavish Dahekar
  • Abhinav Anshuman
  • Amit AwekarEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11438)

Abstract

The central idea of this paper is to demonstrate the strength of lyrics for music mining and natural language processing (NLP) tasks using the distributed representation paradigm. For music mining, we address two prediction tasks for songs: genre and popularity. Existing works for both these problems have two major bottlenecks. First, they represent lyrics using handcrafted features that require intricate knowledge of language and music. Second, they consider lyrics as a weak indicator of genre and popularity. We overcome both the bottlenecks by representing lyrics using distributed representation. In our work, genre identification is a multi-class classification task whereas popularity prediction is a binary classification task. We achieve an F1 score of around 0.6 for both the tasks using only lyrics. Distributed representation of words is now heavily used for various NLP algorithms. We show that lyrics can be used to improve the quality of this representation.

Keywords

Distributed representation Music mining 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Manash Pratim Barman
    • 1
  • Kavish Dahekar
    • 2
  • Abhinav Anshuman
    • 3
  • Amit Awekar
    • 4
    Email author
  1. 1.Indian Institute of Information Technology GuwahatiGuwahatiIndia
  2. 2.SAP LabsBengaluruIndia
  3. 3.Dell India R&D CenterBengaluruIndia
  4. 4.Indian Institute of Technology GuwahatiGuwahatiIndia

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