宋洪伟,宋佳颖,付国宏. 基于模糊推理机的汉语主观句识别[J]. 中文信息学报, 2015, 29(5): 160-167.
SONG Hongwei, SONG Jiaying, FU Guohong. Chinese Subjective Sentence Recognition Based on Fuzzy Inference Machine. , 2015, 29(5): 160-167.
基于模糊推理机的汉语主观句识别
宋洪伟,宋佳颖,付国宏
黑龙江大学 计算机科学技术学院,黑龙江 哈尔滨 150080
Chinese Subjective Sentence Recognition Based on Fuzzy Inference Machine
SONG Hongwei, SONG Jiaying, FU Guohong
School of Computer Science and Technology, Heilongjiang University, Harbin, Heilongjiang 150080, China
Abstract：This paper presents a fuzzy inference machine for Chinese subjectivity identification. We first define two fuzzy sets for lexical subjectivity and objectivity, respectively. Then, we apply TF-IDF to acquire the relevant membership functions from the training data. Finally, we define two fuzzy IF-THEN rules and thus build a fuzzy inference machine for Chinese subjective sentence recognition. We conduct two experiments on the NTCIR-6 Chinese opinion data. The experimental results demonstrate the feasibility of the proposed method.
[1] Liu B. Sentiment analysis and subjectivity[J]. Handbook of natural language processing, 2010, 2: 627-666. [2] Pang B, Lee L. Opinion mining and sentiment analysis[J]. Foundations and trends in information retrieval, 2008, 2(1-2): 1-135. [3] Seki Y, Evans D, Ku L, et al. Overview of opinion analysis pilot task at NTCIR-6[C]//Proceedings of NTCIR-6 Workshop Meeting. 2007: 265-278. [4] Hong Y, Hatzivassiloglou V. Towards answering opinion questions: Separating facts from opinions and identifying the polarity of opinion sentences[C]//Proceedings of EMNLP03, 2003: 129-136. [5] Pang B, Lee. A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts[C]//Proceedings of ACL04, 2004: 271-278. [6] 蒙新泛, 王厚峰. 主客观识别中的上下文因素的研究[J]. 中国计算机语言学研究前沿进展 (2007-2009), 2009: 594-599. [7] Lin C, He Y, Everson R. Sentence Subjectivity Detection with Weakly-Supervised Learning[C]// Proceedings of IJCNLP. 2011: 1153-1161. [8] Jiang W. Study on Identification of Subjective Sentences in Product Reviews Based on Weekly Supervised Topic Model[J]. Journal of Software, 2014, 9(7): 1952-1959. [9] Hatzivassiloglou V,Wiebe J. Effects of adjective orientation and gradability on sentence subjectivity[C]//Proceedings of ACL’00, 2000: 299-305. [10] Riloff E, Wiebe J, Wilson T. Learning subjective nouns using extraction pattern bootstrapping[C]//Proceedings of HLT-NAACL03, 2003: 25-32. [11] Wiebe J, Mihalcea R. Word sense and subjectivity[C]//Proceedings of COLING-ACL’06, 2006: 1065-1072. [12] 叶强, 张紫琼, 罗振雄. 面向互联网评论情感分析的中文主观性自动判别方法研究[J]. 系统信息学报, 2007,1(1): 79-91. [13] Wilson T, Raaijmakers S. Comparing word, character, and phoneme n-grams for subjective utterance recognition[C]// Proceedings of INTERSPEECH. 2008: 1614-1617. [14] Riloff E, Wiebe J, Phillips W. Exploiting subjectivity classification to improve information extraction[C]//Proceedings of AAAI05, 2005: 1106-1111. [15] Jindal N, Liu B. Identifying comparative sentences in text documents[C]//Proceedings of SIGIR06, 2006: 244-251. [16] Karamibekr M, Ghorbani A. Sentence subjectivity analysis in social domains[C]//Proceedings of the 2013 IEEE /ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technologies, 2013: 268-275. [17] 张小红, 裴道武, 代建华. 模糊数学与 Rough 集理论[M]. 北京: 清华大学出版社, 2013. [18] 阳爱民. 模糊分类模型及其集成方法[M]. 北京: 科学出版社, 2008. [19] Rustamov S. Application of Neuro-Fuzzy Model for Text and Speech Understanding Systems[C]//Proceedings of PCI12, 2012: 1-4.
2015, Vol. 29 
