基于OCC模型和贝叶斯网络的情绪句分类方法

doi:10.11896/jsjkx.190200331

计算机科学 ›› 2020, Vol. 47 ›› Issue (3): 222-230.doi: 10.11896/jsjkx.190200331

基于OCC模型和贝叶斯网络的情绪句分类方法

徐源音¹,柴玉梅¹,王黎明¹,刘箴²

(郑州大学信息工程学院郑州450001)¹;
(宁波大学信息科学与工程学院浙江宁波315211)²

收稿日期:2019-02-20 出版日期:2020-03-15 发布日期:2020-03-30
通讯作者: 柴玉梅(ieymchai@zzu.edu.cn)
基金资助:
国家自然科学基金(U1636111)

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).

摘要/Abstract

摘要： 情绪句分类是情绪分析研究领域的核心问题之一,旨在解决情绪句类别的自动判断问题。传统基于情绪认知模型(OCC模型)的情绪句分类方法大多依赖词典和规则,在文本信息缺失的情况下分类精度不高。文中提出基于OCC模型和贝叶斯网络的情绪句分类方法,通过分析OCC模型的情绪生成规则,提取情绪评估变量并结合情绪句中含有的表情符号特征构建情绪分类贝叶斯网络;通过概率推理,可以实现句子级文本的情绪分类,并减小句中信息缺失所带来的影响。与NLPCC2014中文微博情绪分析评测的子任务情绪句分类评测结果的对比表明,所提方法具有有效性。

关键词: OCC模型, 贝叶斯网络, 情绪分析, 情绪句分类

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

中图分类号:

TP391

徐源音,柴玉梅,王黎明,刘箴. 基于OCC模型和贝叶斯网络的情绪句分类方法[J]. 计算机科学, 2020, 47(3): 222-230. https://doi.org/10.11896/jsjkx.190200331

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. https://doi.org/10.11896/jsjkx.190200331

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基于OCC模型和贝叶斯网络的情绪句分类方法

Emotional Sentence Classification Method Based on OCC Model and Bayesian Network

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