On the Use of Microblogging Posts for Similarity Estimation and Artist Labeling
نویسنده
چکیده
Microblogging services, such as Twitter, have risen enormously in popularity during the past years. Despite their popularity, such services have never been analyzed for MIR purposes, to the best of our knowledge. We hence present first investigations of the usability of music artist-related microblogging posts to perform artist labeling and similarity estimation tasks. To this end, we look into different text-based indexing models and term weighting measures. Two artist collections are used for evaluation, and the different methods are evaluated against data from last.fm. We show that microblogging posts are a valuable source for musical meta-data.
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