摘要
文章建立了一套不受领域约束、在各个领域中通用的情感评价单元抽取模式,实现自动且准确地抽取情感评价单元。首先,基于短语的内部结构和句法功能,深入地分析评价对象及其对应的评价短语在句中的句法位置;其次,结合情感句中词性和词对间的依存关系进行情感评价单元的抽取;最后,通过手工构建通用和领域情感词典进行情感评价单元抽取和情感倾向性计算的对比实验,进一步验证抽取模式的有效性。结合短语句法结构和依存句法进行情感评价单元抽取,准确地挖掘出评价对象及其对应的评价短语之间的句法关系。实验结果表明,在应用到后续情感倾向性计算的实验时,整体准确率得到大幅度提升。
The purpose of this paper is to establish a general appraisal expression extracting mode without domain-specific con- straint, and realize appraisal expression extraction automatically and accurately. Firstly, the paper fully analyzes the syntactic position of appraisal subjects and their corresponding phrase based on the inner structure and syntactic function of the phrases. Then combining with dependency relationship between the part-of-speech and word pair, the paper extracts the appraisal expression. Finally, through manual construction of general sentiment lexicon and domain sentiment lexicon, the paper conducts compared experiments on appraisal expression extraction and emotion tendentiousness computing to test the effectiveness of the ex- traction mode. By combining syntactic structure of phrase and dependency parsing to extract appraisal expression, the paper could mine the syntactic relation between appraisal subjects and their corresponding phrase accurately. The experimental result shows when it applies the extracted appraisal expression to the sentiment computing, the whole accuracy is improved greatly.
出处
《情报理论与实践》
CSSCI
北大核心
2017年第3期107-113,共7页
Information Studies:Theory & Application
基金
2012年度国家社会科学基金重大项目"基于特定领域的网络资源知识组织与导航机制研究"(项目编号:12&ZD222)
广东高校优秀青年创新人才培养计划项目"面向轻博客热点话题情感倾向性分析的研究"(项目编号:2012WYM_0058)的成果之一
关键词
情感分析
依存句法分析
情感评价单元
短语
句法结构
sentimental analysis
dependency parsing
appraisal expression
phrase
syntactic structure
