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基于马尔科夫逻辑网的句子情感分析方法
引用本文:杨立公,汤世平,朱俭.基于马尔科夫逻辑网的句子情感分析方法[J].北京理工大学学报,2013,33(6):600-604.
作者姓名:杨立公  汤世平  朱俭
作者单位:北京理工大学计算机学院,北京,100081;中国青年政治学院计算机教学及应用中心,北京,100089
基金项目:北京市自然科学基金资助项目(4123094)
摘    要:提出一种基于马尔科夫逻辑网的句子情感分析方法. 与深度学习方法相结合实现跨领域的知识迁移,同时采用马尔科夫逻辑网将句子的上下文信息与其它情感特征相结合实现句子情感分析. 在COAE评测数据上的实验结果表明,该方法与SVM分类方法相比,准确率达到70.02%,并且在跨领域的情感分析任务中也得到了较好的结果. 

关 键 词:情感分析  马尔科夫逻辑网  深度学习
收稿时间:2013/1/26 0:00:00

A Markov Logic Network Based Sentence Sentimental Analysis Method
YANG Li-gong,TANG Shi-ping and ZHU Jian.A Markov Logic Network Based Sentence Sentimental Analysis Method[J].Journal of Beijing Institute of Technology(Natural Science Edition),2013,33(6):600-604.
Authors:YANG Li-gong  TANG Shi-ping and ZHU Jian
Institution:1.School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China2.China Youth University for Political Sciences, Beijing 100089, China
Abstract:A new method for sentence sentimental analysis based on Markov logic network is proposed. With the combination of Markov logic network and deep learning methods, it could realize the cross-domain knowledge migration. By the function of Markov logic network that could combine discourse information with other sentiment features of sentence, the proposed method could also realize the sentence sentiment orientated analysis. Experimental results on COAE data show that, compared with SVM method, this method could improve the precision considerably and achieve the high precision for implementing cross-domain sentimental analysis task.
Keywords:sentimental analysis  Markov logic networks  deep learning
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