Orientation Identification for Chinese Short Text

With the rapid development of information technology, huge data are accumulated. A vast number of such data appears as short text. It is very useful to orientation identification for short text. But traditional text filtering technology based on statistics usually is ineffective when it deals with orientation, especially for Chinese short text. This paper proposes a novel method for Chinese short text orientation identification which simulates human´s cognition. The approach makes full use of field knowledge, combines tendency dictionary and semantic rules, and takes into account the sentiment orientation of words which constructed by Naive Bayesian model. Experiments show that the proposed method works well in terms of orientation identification for Chinese short text.