DocumentCode :
1813629
Title :
An improved method of extracting emotional attribute of relations based on syntactical analysis
Author :
Wang, Jun ; Li, Lei ; Ren, Fuji
Author_Institution :
Sch. of Comput. Sci., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2011
fDate :
15-17 Sept. 2011
Firstpage :
457
Lastpage :
461
Abstract :
Social network plays an important role in this network age. With development of social network, people hope more attribute and more precise description about relation which is the key element of network. This paper proposes an improved method of extracting emotional attribute of relations from Chinese events based on syntactical analysis. In our work, we improved the defect of previous method that can not deal with multiple entities in one sentence. In addition, a large-scale Chinese emotional dictionary not only emotional verbs was used in the extraction of emotional attribute. Experiment showed our method achieved satisfied performance.
Keywords :
behavioural sciences; dictionaries; social aspects of automation; social networking (online); Chinese emotional dictionary; Chinese events; network age; relation emotional attribute extraction; social network; syntactical analysis; Computer science; Dictionaries; Educational institutions; Encoding; Humans; Social network services; Syntactics; emotional attribute; social network; syntactical analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing and Intelligence Systems (CCIS), 2011 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-61284-203-5
Type :
conf
DOI :
10.1109/CCIS.2011.6045109
Filename :
6045109
Link To Document :
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