Auto-Tagger of Contextual Activity Tags for Music Tracks

Different types of tags have been used, such as those related to the musical genre, others related to the emotions evoked by the song, and others related to the user's context of action or activity. These tags are usually provided by users in social networks and are often present in popular songs in the catalog.

However, new songs added to the catalog or those belonging to the long tail do not have these tags and the need arises to create auto-taggers capable of tagging these songs. Several works and datasets have been proposed in the literature to solve this problem. In this paper we propose to infer activity context tags from simple song features obtained from the Spotify streaming service.