计算机技术与发展2017，Vol.27Issue(1)：6-10,5.DOI:10.3969/j.issn.1673-629X.2017.01.002
中文微博评价对象识别研究
Research on Opinion Target Extraction in Chinese Microblogs
摘要
Abstract
It focuses on extracting opinion targets in Chinese microblogs. Opinion target extraction aims to find the object to which the o-pinion is expressed,helping to monitor and control the development of events. At present,there are few researches on opinion target ex-traction in Chinese microblogs. Due to short text span,colloquial writing style and the lack of words with emotional tendency ( opinion words) in Microblogs,the traditional approaches rely on opinion words are not suitable for microblogs. In this paper, we use the part-of-speech analysis to extract and filter candidate words,and combine semantic analysis to classify candidate words. Based on the assumption that similar messages may have similar opinion targets,a similarity iterative algorithm of candidate words is proposed to extract opinion targets. Experimental results show that by deeply analyzing language features of Microblogs,the proposed method has improved high ac-curacy.关键词
评价对象/候选词提取/语义分析/相似性计算Key words
opinion target/candidate extraction/semantic analysis/similarity calculation分类
信息技术与安全科学引用本文复制引用
张景,牛耘..中文微博评价对象识别研究[J].计算机技术与发展,2017,27(1):6-10,5.基金项目
国家自然科学基金资助项目(61202132) （61202132）
