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 paperpublished at the ICMC/SMC 2014 Conference, as well as the 2013 paper at SMC.
IDMIL Participants:
Research Areas:
Publications:
- Kell, T., Wanderley, M. M. (2013). A Quantitative Review of Mappings in Musical iOS Applications. In Proceedings of the 2013 International Conference on Sound and Music Computing (SMC2013). Stockholm, Sweden.
- Kell, T., Wanderley, M. M. (2014). A High-Level Review of Mappings in Musical iOS Applications. In Proceedings of the Joint 2014 International Computer Music Conference/Sound and Music Computing Conference (ICMC/SMC). Athens, Greece.
Press:
Code source for the project: