iOS Mappings: Source Text & Source Images

Participants: Thor Kell
Marcelo M. Wanderley (supervisor)
Text data from the iOS app store.
Funding: N/A
Project Type: Master's Thesis (M.A. in Music Technology).
Time Period: Jan 2014–June 2014 (completed)

Project Description

This is an archive of application names and descriptive text, for every app in the Music section of the iOS App Store, as of January 28, 2014. Each app has been categorized, by hand, into one of 66 categories. Screenshots for each app are also included.

This data can be used as ground truth to aid in the construction of text-based machine learning techniques, or simply as a way of investigating the contents of the iOS App Store.

For more details about how the data was obtained and classified, please read the associated paper, as submitted to SMC 2014 (a paper link will appear after SMC has accepted or declined the paper).