~~NOTOC~~

====== iOS Mappings: Source Text & Source Images ======
{{template>projects:summary
|title=iOS Mappings: Source Text & Source Images|
|participants=[[people:Thor Kell]]\\
 [[people:Marcelo M. Wanderley]] (supervisor)|
|funding=N/A|
|type=Master's Thesis (M.A. in Music Technology).|
|period=Jan 2014--June 2014|
|status=completed|
|image=projects:ios_mappings:app-text-data-small.jpg|
|caption=Text data from the iOS app store.
}}

===== Project Description =====

This is an archive of application names and descriptive text, for every app in the [[https://itunes.apple.com/ca/genre/ios-music/id6011?mt=8|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).

  * [[http://idmil.org/_media/projects/ios_mappings/text_data.zip|Download Text Data]] (~25 MB).
  * [[http://idmil.org/pub/photos/iOS/screenshot_data.zip|Download Screenshot Data]] (~579 MB).


----
===== Publications =====

  * [[people:Thor Kell]] and [[people:Marcelo M. Wanderley]].  A High-Level Review of Mappings in Musical iOS Applications (Pending acceptance)


{{tag>Mapping iOS}}