Re:Latent Dirichlet Allocation on Tweets
by datahipster on Monday September 08, 2014 @04:58AM
(#8283920)
I did something similar to this with tweets during the Boston Marathon bombing [0]. One of the coolest things that I saw was that the topics themselves were neatly ordered in time. In other words, you can visualize how the distribution of vocabulary evolves with time [1].
It would be interesting to extend the LDA model to include a temporal variable. Never got around to doing it, but it seems like it would work well for social media data.
It would be interesting to extend the LDA model to include a temporal variable. Never got around to doing it, but it seems like it would work well for social media data.
[0] http://blog.dc.esri.com/2013/04/18/the-evolution-of-discussi...
[1] http://blog.dc.esri.com/files/2013/04/topic-distribution2.pn...