参考文献
[1]Alexander P,Patrick P.Twitter as a Corpus for Sentiment Analysis and Opinion Mining[C]//Proceedings of the 7th International Conference on Language Resources and Evaluation.Valletta,Malta:ELRA Press,2010:1320-1326.
[2]Fotis A,George P,Konstantinos T,et al.Content Vs.Context for Sentiment Analysis:A Comparative Analysis over Microblogs[C]//Proceedings of the 23rd ACM Conference on Hypertext and Social Media.New York,USA:ACM Press,2012:187-196.
[3]谢丽星,周明,孙茂松.基于层次结构的多策略中文微博情感分析和特征抽取[J].中文信息学报,2012,26(1):73-83.
[4]Jinan F,Osama M,Sabah M,et al.Opinion Mining over Twitterspace:Classifying Tweets Programmatically Using the R Approach[C]//Proceedings of the 7th International Conference on Digital Information Management.Washington D.C.,USA:IEEE
Press,2012:313-319.
[5]陈晓东.基于情感词典的中文微博情感倾向分析研究[D].武汉:华中科技大学,2012.
[6]Pang B,Lee L,Shivakumar V.Thumbs up? Sentiment Classification Using Machine Learning Tech-niques[C]//Proceedings of Conference on Empirical Methods in Natural Language Processing.New York,USA:ACM Press,2002:79-86.
[7]Dmitry D,Oren T,Ari R.Enhanced Sentiment Learning Using Twitter Hashtags and Smileys[C]//Proceedings of the 23rd International Conference on Computational Linguistics.Berlin,Germany:Springer,2010:241-249.
[8]Songbo T,Yuefen W,Xueqi C.Combining Learn-based and Lexicon-based Techniques for Sentiment Detection without Using Labeled Examples[C]//Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development
Information Retrieval.Singapore:[s.n.],2008:743-744.
[9]Zhang Lei,Ghosh R,Dekhil M,et al.Combining Lexicon-based and Learning-based Methods for Twitter Sentiment Analysis,HPL-2011-89[R].HP Laboratories,2011.
[10]Minqing H,Bing L.Mining and Summarizing Customer Reviews[C]//Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.Seattle.New York,USA:ACM Press,2004:168-177.
[11]Ding Xiaowen,Liu Bing.The Utility of Linguistic Rules in Opinion Mining[C]//Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval.New York,USA:ACM Press,2007:811-
812.
[12]Tetsuya N,Jeonghee Y.Sentiment Analysis:Capturing Favorability Using Natural Language Processing[C]//Proceedings of the 2nd International Conference on Knowledge Capture.New York,USA:ACM Press,2003:70-77.
[13]Jiang Long,Yu Mo,Zhou Ming.Target-dependent Twitter Sentiment Classification[C]//Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics.Portland,USA:[s.n.],2011:151-160.
[14]Zhang Wei,Li Peifeng,Zhu Qiaoming.Sentiment Classification Based on Syntax Tree Pruning and Tree Kernel[C]//Proceedings of the 7th Web Information Systems and Applications Conference.Washington D.C.,USA:IEEE Press,2010:101-105.
[15]Li Peifeng,Zhu Qiaoming,Zhang Wei.A Dependency Tree Based Approach for Sentence-level Sentiment Classification[C]//Proceedings of the 12th ACIS International Conference on Software Engineering,Artificial Intelligence,NetWorking
and Parallel/Distributed Computing.Washington D.C.,USA:IEEE Press,2011:166-171.
[16]刘志明,刘鲁.基于机器学习的中文微博情感分类实证研究[J].计算机工程与应用,2012,48(1):1-4.
[17]黄美丽,刘宗田.基于形式概念分析的领域本体构建方法研究[J].计算机科学,2006,33(1):210-212.
[18]Efstratios K,Christos B,Theologos D.Ontology-based Sentiment Analysis of Twitter Posts[J].Expert System with Applications,2013,40(10):4065-4074.
[19]赵妍妍,秦兵,车万翔,等.基于句法路径的情感评价单元识别[J].软件学报,2011,22(5):887-898.
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