网络信息中评价搭配识别及倾向性判断

计算机科学 ›› 2013, Vol. 40 ›› Issue (7): 162-166.

网络信息中评价搭配识别及倾向性判断

汝承森,饶岚,王挺

国防科技大学计算机学院长沙410073;国防科技大学人文与社会科学学院长沙410073;国防科技大学计算机学院长沙410073

出版日期:2018-11-16 发布日期:2018-11-16
基金资助:
本文受国家自然科学基金项目(61170156)资助

Opinion Combination Recognition and Orientation Judgment of Network Information

RU Cheng-sen,RAO Lan and WANG Ting

Online:2018-11-16 Published:2018-11-16

摘要/Abstract

摘要： 随着互联网技术的飞速发展,网络评论信息呈现爆炸式的增长,观点挖掘技术应运而生。评价对象与评价短语的抽取是观点挖掘中一项重要的任务。针对现有的基于模板方法存在人工参与过多、模板覆盖率不足、不能识别跨度较远的评价对象与评价短语等问题,提出了一种自动提取模板、利用概率进行评价搭配识别并能识别跨度较远的评价对象与评价短语的方法。通过引入同义词计算情感词的情感强度,综合考虑情感词与修饰词影响,完成倾向性判断。利用COAE2011的语料对上述方法进行了实验评价,并与两个baseline方法进行比较,取得了较好的实验结果。

关键词: 评价搭配,提取,模板,倾向性判断中图法分类号TP391文献标识码A 

Abstract: With the rapid development of internet technology and the explosive growth of online reviews,the technology of opinion mining has emerged．The extraction of opinion targets and opinion phrases is an important task in opinion mining．As template-based methods have several disadvantages:too much manual intervention,the lack of template co-verage,and having difficulty in identifying opinion targets and opinion phrases with long distance,this paper presented a method that could extract templated automatically,identify the opinion combination by using the probability and identify long distance opinion targets and opinion phrases．This paper calculated the sentiment strength of sentiment words by using thesauruses and judged the opinion orientation by considering the impacts of sentiment words and qualifiers．The proposed work has been evaluated on the corpus of COAE2011,compared with two baseline methods,and obtains a good result．

Key words: Opinion combination,Extraction,Template,Orientation judgment

汝承森,饶岚,王挺. 网络信息中评价搭配识别及倾向性判断[J]. 计算机科学, 2013, 40(7): 162-166. https://doi.org/

RU Cheng-sen,RAO Lan and WANG Ting. Opinion Combination Recognition and Orientation Judgment of Network Information[J]. Computer Science, 2013, 40(7): 162-166. https://doi.org/

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