Monday, June 13, 2011

Sentiment Analysis with Global Topics and Local Dependency


This paper talks about the interaction between topic and sentiment. The first idea is to impose an additional factor of generating word: the topic decides the sentiment and the sentiment along with the topic decides the word. However, the structure can't determine where the writer changes his attitude. So they impose a hidden Markov structure on sentiment transitions. However the paper only gives some inference result and many parameters are manually set.

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