Evaluation of different strategies for domain adaptation in opinion mining

LREC 2014 Garcia-FernAnne ezOlivier FerretMarco Dinarelli

The work presented in this article takes place in the field of opinion mining and aims more particularly at finding the polarity of a text by relying on machine learning methods. In this context, it focuses on studying various strategies for adapting a statistical classifier to a new domain when training data only exist for one or several other domains... (read more)

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