Title :
Semantic based Chinese sentence sentiment analysis
Author :
Chengxiang Yuan ; Yi Zhuang ; Haohong Li
Author_Institution :
Coll. of Comput. & Inf. Eng., ZheJiang Gongshang Univ., Hangzhou, China
Abstract :
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.
Keywords :
computational linguistics; natural language processing; ontologies (artificial intelligence); semantic networks; text analysis; NLP technique; SA method; domain ontology; interdependence relationship; natural language processing technique; semantic based Chinese sentence sentiment analysis; syntax components; Algorithm design and analysis; Compounds; Natural language processing; Ontologies; Semantics; Syntactics; Tagging; Sentiment analysis; natural language processing; ontology;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-180-9
DOI :
10.1109/FSKD.2011.6019960
