David Hauger, Markus Schedl, A. Kosir, Marko Tkalcic,
"The Million Musical Tweet Dataset: What We Can Learn From Microblogs."
: Proceedings of the 14th International Society for Music Information Retrieval Conference (ISMIR 2013),, 2013
Original Titel:
The Million Musical Tweet Dataset: What We Can Learn From Microblogs.
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the 14th International Society for Music Information Retrieval Conference (ISMIR 2013),
Original Kurzfassung:
Microblogs and Social Media applications are continuously
growing in spread and importance. Users of Twitter, the
currently most popular platform for microblogging, create
more than a billion posts (called tweets) every week.
Among all the different types of information being shared,
some people post their music listening behavior, which is
why Twitter became interesting for the Music Information
Retrieval (MIR) community. Depending on the device
and personal settings, some users provide geographic coordinates
for their microposts.
Having continuously crawled and analyzed tweets for
more than 500 days (17 months) we can now present the
?Million Musical Tweet Dataset? (MMTD) ? the biggest
publicly available source of microblog-based music listening
histories that includes geographic, temporal, and other
contextual information. These extended information makes
the MMTD outstanding from other datasets providing music
listening histories.
We introduce the dataset, give basic statistics about its
composition, and show how this dataset allows to detect
new contextual music listening patterns by performing a
comprehensive statistical investigation with respect to correlation
between music taste and day of the week, hour of
day, and country.
Forschungs-