Semantic based Chinese sentence sentiment analysis

A sentiment analysis (SA) method for Chinese is presented in this paper. First, natural language processing (NLP) technique is used to analyze the interdependence relationship between components of the sentence, then the syntax components are detected which affect the sentence sentiment. Finally, a sentence sentiment is calculated. The sentiment of some terms is variable. To improve the precision and recall of our method, domain ontology is used to analyze the sentiment of those terms.