Title :
Exploiting Hierarchical Discourse Structure for Review Sentiment Analysis
Author :
Fei Wang ; Yunfang Wu
Author_Institution :
Inst. of Comput. Linguistics, Peking Univ., Beijing, China
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;
Conference_Titel :
Asian Language Processing (IALP), 2013 International Conference on
Conference_Location :
Urumqi
DOI :
10.1109/IALP.2013.42