基于马尔科夫逻辑网的句子情感分析方法  

A Markov Logic Network Based Sentence Sentimental Analysis Method

作　　者：杨立公[1] 汤世平[1] 朱俭[2] 

机构地区：[1]北京理工大学计算机学院,北京100081 [2]中国青年政治学院计算机教学及应用中心,北京100089

出　　处：《北京理工大学学报》2013年第6期600-604,共5页Transactions of Beijing Institute of Technology

基　　金：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.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.

关 键 词：情感分析 马尔科夫逻辑网 深度学习 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]