{"id":159556,"date":"2010-05-01T00:00:00","date_gmt":"2010-05-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/characterizing-microblogs-with-topic-models\/"},"modified":"2018-10-16T22:13:16","modified_gmt":"2018-10-17T05:13:16","slug":"characterizing-microblogs-with-topic-models","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/characterizing-microblogs-with-topic-models\/","title":{"rendered":"Characterizing Microblogs with Topic Models"},"content":{"rendered":"<div class=\"asset-content\">\n<p>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\u2019 interaction with Twitter is still primarily focused on their social graphs, forcing the often inappropriate conflation of \u201cpeople I follow\u201d with \u201cstuff I want to read.\u201d 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 dimensions correspond roughly to substance, style, status, and social characteristics of posts. We characterize users and tweets using this model, and present results on two information consumption oriented tasks.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>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\u2019 interaction with Twitter is still primarily focused on their social graphs, forcing the often inappropriate conflation of \u201cpeople I follow\u201d with \u201cstuff I want to read.\u201d We characterize [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"American Association for Artificial Intelligence","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"Proc. ICWSM 2010","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"Proc. 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