基于情感常识的情感分析

Sentiment Analysis Based on Emotion Commonsense Knowledge

近年来,随着人工智能领域的蓬勃发展,计算机对于常识知识的需求逐渐增加。情感常识作为常识知识中的一部分,同样是当前情感计算领域的一个重要方面。鉴于情感词典结构与内容的局限性,该文设计了一种二元情感常识结构并以此为基础构建中文情感常识库。其构建过程首先通过知识提取获得情感常识知识候选集,再经过人工筛选与自动化扩展形成最终的情感常识库。在公开数据集上的实验结果表明,该文所构建的二元情感常识库有利于提高文本情感分析的精度。

With the rapid development of artificial intelligence in recent years, the demand for commonsense know ledge has become more and more urgent. As a part of commonsense knowledge, emotion commonsense knowledge is also an important aspect of affective computing. In view of the limitations in the structure and content of the emotion dictionary, we prese nt an emotion commonsense library of bin ary structure. To construct the library the set of e- motion commonsense knowledge candidates is obtained through knowledge extraction, followed by manual annota tion and automatic expansion. Experimental results on opening datasets show that the binary emotion commonsense library constructed in this paper improves the precision of sentiment analysis.