基于OCC模型和贝叶斯网络的情绪句分类方法

doi:10.11896/jsjkx.190200331

Computer Science ›› 2020, Vol. 47 ›› Issue (3): 222-230.doi: 10.11896/jsjkx.190200331

• Artificial Intelligence • Previous Articles Next Articles

Emotional Sentence Classification Method Based on OCC Model and Bayesian Network

XU Yuan-yin¹,CHAI Yu-mei¹,WANG Li-ming¹,LIU Zhen²

(School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China)¹;
(School of Information Science and Technology, Ningbo University, Ningbo, Zhejiang 315211, China)²

Received:2019-02-20 Online:2020-03-15 Published:2020-03-30
About author:XU Yuan-yin,born in 1993,master.Her main research interests include natural language processing and so on. CHAI Yu-mei,born in 1964,master,professor.Her main research interests include machine learning,data mining and natural language processing.
Supported by:
This work was supported by the National Natural Science Foundation of China (U1636111).

Abstract

Abstract: Emotional sentence classification is one of the core problems in the field of emotional analysis.It aims to solve the problem of automatic judgment of emotional sentence categories.Traditional emotional sentence classification methods based on OCC sentiment recognition models mostly rely on dictionaries and rules.In the absence of textual information,the classification accuracy is relatively lower.This paper proposed an emotional sentence classification method based on OCC model and Bayesian network.By analyzing the emotion generation rules of OCC model,it extracts emotional assessment variables and combines the emotion features contained in the emotion sentence to construct a Bayesian network of emotion classification.Through probabilistic reasoning,it is possible to identify a variety of emotion categories that the text may want to express and reduce the impact of missing text information.Compared with the NLPCC2014 Chinese Weibo emotion analysis evaluation sub-task emotional sentence classification evaluation results,the results show that the proposed method is effective.

Key words: Bayesian network, Emotion sentence classification, Emotional analysis, OCC model

CLC Number:

TP391

XU Yuan-yin,CHAI Yu-mei,WANG Li-ming,LIU Zhen. Emotional Sentence Classification Method Based on OCC Model and Bayesian Network[J].Computer Science, 2020, 47(3): 222-230.

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