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- 255 creator himabindu-lakkaraju.
- 255 creator hyung-il-ahn.
- 255 type InProceedings.
- 255 label "TEM: A Novel Perspective to Modeling Content on Microblogs".
- 255 sameAs 255.
- 255 abstract "In recent times, microblogging sites like Facebook and Twitter have gained a lot of popularity. Millions of users world wide have been using these sites to post about topics that interest them and also to voice their opinions on several current events. Valuable business, social insights can be obtained by analyzing the content on these sites. The microtextual nature of the content, continuously evolving themes underlying the data and the scale of the data hosted on these sites emphasize the need for novel text analysis algorithms which can take advantage of such content characteristics. In this paper, we present a novel non-parametric probabilistic model called Theme-Event Model (TEM) for analyzing the content on microblogs. We also describe an online gibbs-sampling based inference algorithm for this model that enables its usage on large scale data. Experimentation carried out on real world data extracted from Facebook and Twitter demonstrates the efficacy of the proposed approach for characterizing content on microblogs.".
- 255 hasAuthorList authorList.
- 255 isPartOf proceedings.
- 255 isPartOf proceedings.
- 255 keyword "latent factor models".
- 255 keyword "microtext".
- 255 keyword "social media".
- 255 title "TEM: A Novel Perspective to Modeling Content on Microblogs".