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Characterizing Microblogs with Topic Models

Characterizing Microblogs with Topic Models

This video was recorded at 4th International AAAI Conference on Weblogs and Social Media (ICWSM), Washington 2010. As microblogging grows in popularity, services like Twitter are coming to support information gathering needs above and beyond their traditional roles as social networks. But most users' interaction with Twitter is still primarily focused on their social graphs, forcing the often inappropriate conflation of "people I follow" with "stuff I want to read." We characterize some information needs that the current Twitter interface fails to support, and argue for better representations of content for solving these challenges. We present a scalable implementation of a partially supervised learning model (Labeled LDA) that maps the content of the Twitter feed into dimensions. These... Show More

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