JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2016, Vol. 51 ›› Issue (7): 81-89.doi: 10.6040/j.issn.1671-9352.1.2015.089

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Recognition of Chinese Micro-blog sentiment polarity and extraction of opinion target

HU Mo-zhi1,2, YAO Tian-fang1*   

  1. 1.Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;
    2. CTRIP Computer Technology(SHANGHAI)CO., LTD., Shanghai 200335, China
  • Received:2015-11-14 Online:2016-07-20 Published:2016-07-27

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Abstract: According to the dependency and emotional words in sentences, we extract features and apply these features to the maximum entropy model to predict the polarity of a sentence(positive, negative or neutral). Using words, part of speech and composition of syntactic structure as a feature to train CRF model and extract opinion target. Experimental results shows that recognition rate of Chinese Micro-blogging sentiment polarity are increased obviously.

Key words: sentiment polarity, dependence analysis, Chinese Micro-blog, opinion target

CLC Number: 

  • TP391
[1] 李岩,徐蔚然,陈光.PRIS_COAE2013评测报告[C] // 第五届中文倾向性分析测评研讨会论文集(COAE2013).北京:中国中文信息学会信息检索专业委员会,2013:53-69.
[2] 朱艳辉,杜锐,鲁琳,等.中文文本情感分析与比较句的识别研究[C] // 第五届中文倾向性分析测评研讨会论文集(COAE2013).北京:中国中文信息学会信息检索专业委员会,2013:34-43.
[3] 刘志广,董喜双,关毅.中文微博情感倾向性研究[C] // 第五届中文倾向性分析测评研讨会论文集(COAE2013). 北京:中国中文信息学会信息检索专业委员会,2013:81-87.
[4] BERGER A, DELLA PIETRA S D, PIETRA V D. A maximum entropy approach to natural language processing[J]. Computational Linguistics, 1996, 22(1):39-71.
[5] 李航.统计学习方法[M].北京:清华大学出版社,2013:80-94.
[6] KHUDANPUR S, WU J. Maximum entropy techniques for exploiting syntactic, semantic and collocational dependencies in language modeling[J]. Computer Speech and Language, 2000, 14(4):355-372.
[7] MCCALLUM A, FREITAG D, PEREIRA F. Maximum entropy Markov models for information extraction and segmentation[C] // Proceedings of the 17th International Conference on Machine Learning. San Francisc: Morgan Kaufmann Publishers Inc, 2000: 591-598.
[8] LAFFERTY J D, MCCALLUM A, PEREIRA F C N. Conditional random fields: probabilistic models for segmenting and labeling sequence data[C] // Proceedings of the 18th International Conference on Machine Learning. San Francisc: Morgan Kaufmann Publishers Inc, 2001: 282-289.
[9] 李航.统计学习方法[M].北京,清华大学出版社,2013:191-210.
[10] Marie-Catherine de Marneffe, CHRISTOPHER D. Manning, Stanford typed dependencies manual [EB/OL].[2015-05-16]. http://nlp.stanford.edu/software/stanford-dependencies.shtml.
[11] DARROCH J N, RATCLIFF D. Generalized iterative scaling for log-linear models[J]. The Annals of Mathematical Statistics, 1972, 43:1470-1480.
[12] 谭松波,王素格,廖祥文,等.第五届中文倾向性分析测评总体报告[C] // 第五届中文倾向性分析测评研讨会论文集(COAE2013). 北京:中国中文信息学会信息检索专业委员会,2013:5-33.
[13] 徐叶强,朱艳辉,王文华,等.中文产品评论中评价对象的识别研究[J].计算机工程,2012,38(20):140-143. XU Yeqiang, ZHU Yanhui, WANG Wenhua, et al. Research on recognition of evaluation object in Chinese product review computer engineering[J]. Computer Engineering, 2012, 38(20):140-143.
[14] 戴敏,王荣洋,李寿山,等.基于句法特征的评价对象抽取方法研究[J].中文信息学报,2014,24(4):92-97. DAI Min, WANG Rongyang, LI Shoushan, et al. Opinion target extraction with syntactic features[J]. Journal of Chinese Information Processing, 2014, 24(4):92-97.
[15] 鲁琳,朱艳辉,杜锐,等.面向中文微博的评价对象抽取方法研究[J].科学技术与工程,2014,14(12):223-226. LU Lin, ZHU Yanhui, DU Rui, et al. Study on preparation of shaped activated carbon from coal and wood chips by phosphoric acid[J]. Science Technology and Engineering, 2014, 14(12):223-226.
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