Exploiting Hierarchical Discourse Structure for Review Sentiment Analysis

Fei Wang, Yunfang Wu
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引用次数: 8

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.
基于层次话语结构的评论情感分析
话语结构对文本的整体情感有重要影响。本文首次将分层话语结构融入到无监督情感分析框架中。实验结果表明,通过整合话语结构,情感分析的性能提高了1.9%(从85.1%提高到87.0%),证明了利用话语结构进行情感分析的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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