DocumentCode :
1909977
Title :
Comprehensive Information Based Semantic Orientation Identification
Author :
Wu, Yun ; Zhang, Yan ; Luo, Si-ming ; Wang, Xiao-jie
Author_Institution :
CISTR, Beijing Univ. of Posts & Telecommun., Beijing
fYear :
2007
fDate :
Aug. 30 2007-Sept. 1 2007
Firstpage :
274
Lastpage :
279
Abstract :
The identification of the texts´ attitude orientation is to identify the opinion on a special issue in a text is supporting or opposing. This paper introduces a method to identify the orientation of a Chinese text´s attitude using the comprehensive information acquired form the text. First, we label the text with information in several layers, which include information of segmentation, POS, semantic role and semantic emotional orientation. We add these information to a text step by step, and make use of them to identify the attitude orientation of the text in a given topic. Experiments show that, the orientation identifier which uses above comprehensive information from syntactic, semantic and pragmatic levels has better performance in this task than some others.
Keywords :
natural language processing; text analysis; Chinese text attitude orientation; comprehensive information based semantic orientation identification; Classification algorithms; Data mining; Fuzzy sets; Information analysis; Information theory; Labeling; Machine learning; Machine learning algorithms; Process design; Text categorization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Language Processing and Knowledge Engineering, 2007. NLP-KE 2007. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1610-3
Electronic_ISBN :
978-1-4244-1611-0
Type :
conf
DOI :
10.1109/NLPKE.2007.4368043
Filename :
4368043
Link To Document :
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