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Text Mining in Dynamic Networks of Documents

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Many applications (the Internet, Wikipedia) concern networks of documents. We mine the corpus that consists of all U.S. political blog posts in 2012. The intent is to use recent advances in dynamic network modeling to improve the topic discovery, and recent research on text mining to improve the network modeling. We describe a preliminary analysis based on the subset of blog posts that concern the shooting of Trayvon Martin, and then a full analysis of the entire corpus, at a lower level of resolution.

This talk is part of the Statistics series.

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