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Investigation in statistical language-independent approaches for opinion detection in English, Chinese and Japanese
Date de parution
2009
In
Proceedings of the Third International Workshop on Cross Lingual Information Access (CLIAWS3): Addressing the Information Need of Multilingual Societies, Association for Computing Machinery (ACM), 2009///38-45
Résumé
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 Naïve 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.
Identifiants
Type de publication
journal article
