Student Work

Computer Visualization of Song Lyrics

Public

Downloadable Content

open in viewer

Currently, there are several methods for recommending music to an individual. These vary from word-of-mouth to recommendation databases. This project attempts to visualize the lyrical relationships found in collections of songs. We discover these relationships by examining the structural and contextual components of a song's lyrics, and using those components in a comparison algorithm. We gathered a set of 5605 lyrics and associated data in order to establish a network of relationships to navigate and explore. The visualizations allow users to graphically explore the collection to discover trends, interesting data, or to find new songs to listen to. We performed user testing to discover the ease-of-use of our system as well as the subjective accuracy of its recommendations.

  • This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
Creator
Publisher
Identifier
  • E-project-121709-143539
Advisor
Year
  • 2009
Date created
  • 2009-12-17
Resource type
Major
Rights statement
Last modified
  • 2020-12-29

Relations

In Collection:

Items

Items

Permanent link to this page: https://digital.wpi.edu/show/q524jq547