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In this paper we present a new statistical approach to opinion detection and its' evaluation on the English, Chinese and Japanese corpora. Besides, the proposed method is compared with three baselines, namely Naive Bayes classifier, a language model and an approach based on significant collocations. These models being language independent are improved with the use of language-dependent technique on the example of the English corpus. We show that our method almost always gives better performance compared to the considered baselines.

Investigation in statistical language-independent approaches for opinion detection in English, Chinese and Japanese