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英语情态句的情感倾向性分析
引用本文:陈仲帅,刘 洋,禹晓辉. 英语情态句的情感倾向性分析[J]. 中文信息学报, 2014, 28(3): 28-35
作者姓名:陈仲帅  刘 洋  禹晓辉
作者单位:山东大学 计算机科学与技术学院,山东 济南 250101
基金项目:国家自然科学基金(60903108,61272092), 山东省自然科学基金(ZR2012FZ004)
摘    要:该文研究了英语情态句的情感倾向性分析问题。情态句是英语中的常用句型,在用户评论文本中占有很大的比例。由于其独有的语言学特点,情态句中的情感倾向很难被已有的方法有效地分析。在该文中,我们借助词性标签进行了情态句的识别,并提出了一种情态特征用于帮助情态句情感倾向性的分析。为了进一步提高分析效果,我们还给出了通过合并同义情态特征来缓解情态特征稀疏性问题的方法。实验结果表明,在二元及三元情感倾向性分类问题上,该文提出的方法在F值上较经典分类方法分别有4%及7%的提高。

关 键 词:情感倾向性分析  意见挖掘  情感分类  情态句  

Sentiment Orientation Analysis of English Sentences with Modality
CHEN Zhongshuai,LIU Yang,YU Xiaohui. Sentiment Orientation Analysis of English Sentences with Modality[J]. Journal of Chinese Information Processing, 2014, 28(3): 28-35
Authors:CHEN Zhongshuai  LIU Yang  YU Xiaohui
Affiliation:School of Computer Science and Technology Shandong University, Jinan, Shandong 250101, China
Abstract:This paper analyses sentiment orientation of English sentences with modality. Sentences with modality are used widely in English, which comprise a significant proportion of typical reviews corpus. Due to the unique characteristics of modality, it is challenging for a general sentiment analysis system to handle these sentences. This paper identifies these sentences with the help of POS tagging and present a new modal feature that has been rarely discussed in previous studies. To further improve the accuracy, we develop a novel method which can effectively combine phrases sharing similar meanings of modality. The experimental results illustrate that the F-score of the proposed method increases by 4% and 7% than classic methods in the two-class and three-class sentiment orientation classifications, respectively.
Keywords:Sentiment orientation analysis   opinion mining   sentiment classification   modality  
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