CAJ | 학술논문

针对基于知网的中文句子情感倾向判别方法中存在的准确率不高的问题,提出采用否定模式匹配与依存句法分析相结合的方法.研究分析了修饰词极性以及否定共享模式,确定修饰词以及扩展极性的定量和否定共享范围,提出依存语法距离的影响因素来计算情感倾向,并且在否定模式匹配后改进句子极性算法.实验结果表明该方法取得了良好的效果.
침대기우지망적중문구자정감경향판별방법중존재적준학솔불고적문제,제출채용부정모식필배여의존구법분석상결합적방법.연구분석료수식사겁성이급부정공향모식,학정수식사이급확전겁성적정량화부정공향범위,제출의존어법거리적영향인소래계산정감경향,병차재부정모식필배후개진구자겁성산법.실험결과표명해방법취득료량호적효과.
This paper proposed a method which combining negation model matching with dependency parsing , to solve the low precision rates in the Chinese sentences sentiment orientation based on HowNet. On one hand, according to analysis the negative polarity of the qualifier and sharing models to determine the polarity of the qualifier, identified the expansion of quantitative and the scope of negation sharing. On the other hand, according to the dependency grammar distance factors to calculate the sentiment orientation, and to improve the polar algorithms of the sentence after the negation model-matching. The experimental results show that the method has achieved good results.