Basic Units for Chinese Opinionated Information Retrieval
URI (for links/citations):http://elib.sfu-kras.ru/handle/2311/649
(University of Sussex Falmer Brighton BN1 9QJ, UK, e-mail: email@example.com)
This paper presents the results of experiments in which the authors tested different types of features for retrieval of Chinese opinionated texts. We assume that the task of retrieval of opinionated texts (OIR) can be regarded as a subtask of general IR, but with some distinct features. The experiments showed that the best results were obtained from combinating character-based processing, dictionary look up (maximum matching) and a negation check.
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