DocumentCode
1908787
Title
Exploiting Hierarchical Discourse Structure for Review Sentiment Analysis
Author
Fei Wang ; Yunfang Wu
Author_Institution
Inst. of Comput. Linguistics, Peking Univ., Beijing, China
fYear
2013
fDate
17-19 Aug. 2013
Firstpage
121
Lastpage
124
Abstract
The overall sentiment of a text is critically affected by its discourse structure. For the first time, this paper incorporates hierarchical discourse structure into an unsupervised sentiment analysis framework. Experimental results show that by integrating discourse structure, the performance of sentiment analysis is improved by 1.9% (from 85.1% to 87.0%), demonstrating the effectiveness of exploiting discourse structure for sentiment analysis.
Keywords
natural language processing; trees (mathematics); hierarchical discourse structure; review sentiment analysis; text sentiment; unsupervised sentiment analysis framework; Binary trees; Computational linguistics; Educational institutions; Pragmatics; Process control; Satellites; Vocabulary; discourse stucture; sentiment analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Asian Language Processing (IALP), 2013 International Conference on
Conference_Location
Urumqi
Type
conf
DOI
10.1109/IALP.2013.42
Filename
6646018
Link To Document