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Estimating the physical location of Twitter users with the von Mises-Fisher distribution (Mike Izbicki, UC Riverside)

February 4 @ 4:15 pm - 5:15 pm

Approximately 500 million tweets are sent everyday.  Scientists monitor these tweets to predict the spread of disease, better allocate social welfare services, help first responders during natural disasters, and many other important tasks.  A key step in each of these tasks is estimating the location the tweet was sent from.  In
this talk, I discuss how to combine machine learning and the von Mises-Fisher distribution to estimate this location.  The von Mises-Fisher distribution is the spherical analog of the Gaussian distribution, and this distribution lets us exploit the earth’s non-Euclidean geometry to improve estimation accuracy.

Details

Date:
February 4
Time:
4:15 pm - 5:15 pm
Event Category:

Organizer

Chiu-Yen Kao

Other

Speaker Name
Mike Izbicki

Venue

Emmy Noether Room, Millikan 1021, Pomona College
610 N. College Ave.
Claremont, California 91711
+ Google Map

Details

Date:
February 4
Time:
4:15 pm - 5:15 pm
Event Category:

Organizer

Chiu-Yen Kao

Other

Speaker Name
Mike Izbicki

Venue

Emmy Noether Room, Millikan 1021, Pomona College
610 N. College Ave.
Claremont, California 91711
+ Google Map