Sentiment Analysis Based on Emotion Commonsense Knowledge
YANG Liang1, ZHOU Fengqing1, LIN Hongfei1, YIN Fuliang2, ZHANG Yiming1
1.School of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning 116024, China; 2.School of Information and Communication Engineering, Dalian University of Technology, Dalian, Liaoning 116024, China
Abstract: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 present an emotion commonsense library of binary structure. To construct the library, the set of emotion commonsense knowledge candidates is obtained through knowledge extraction, followed by manual annotation 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.
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