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News and twitter are sometimes closely correlated, while sometimes each of them has quite independent flow of information, due to the difference of the concerns of their information sources. In order to effectively capture the nature of those two text streams, it is very important to model both their correlation and their difference. This paper first models(More)
This paper first studies how to apply a topic model to Chinese and Japanese blog posts collected from a few hundred Chinese and Japanese bloggers and then to classify bloggers into communities. The estimated topics are exploited in the task of overviewing the Chinese and Japanese bloggers' communities and comparing them between Chinese and Japanese in order(More)
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