[1]LEVENBERG A, PULMAN S, MOILANEN K, et al.Predicting economic indicators from Web text using sentiment composition [J]. International Journal of Computer and Communication Engineering, 2014,3(2):109-115.
[2]ZHANG X, FUEHRES H, GLOOR P A. Predicting stock market indicators through twitter "I hope it is not as bad as I fear" [J]. Procedia-Social and Behavioral Sciences, 2011,26:55-62.
[3]CAVNAR W B, TRENKLE J M. N-gram-based text categorization [C]// Proceedings of the 1994 3rd Annual Symposium on Document Analysis and Information. Las Vegas: [s.n.], 1994:161-175.
[4]JONES K S. A statistical interpretation of term specificity and its application in retrieval [J]. Journal of Documentation, 1972,28(1):11-21.
[5]KOULOUMPIS E, WILSON T, MOORE J. Twitter sentiment analysis: the good the bad and the OMG! [C]// Proceedings of the 5th International AAAI Conference on Weblogs and Social Media. Palo Alto: AAAI Press, 2011:538-541.
[6]PANG B, LEE L, VAITHYANATHAN S. Thumbs up? sentiment classification using machine learning techniques [C]// Proceedings of the ACL-02 Conference on Empirical Methods in Natural Language Processing. Stroudsburg: Association for Computational Linguistics, 2002,10:79-86.
[7]ZHAO Y, QIN B, LIU T. Sentiment analysis [J]. Journal of Software, 2010,21(8):1834-1848.(赵妍妍,秦兵,刘挺.文本情感分析[J].软件学报,2010,21(8):1834-1848.)
[8]ZHU Y, MIN J, ZHOU Y, et al.Semantic orientation computing based on HowNet [J]. Journal of Chinese Information Processing, 2006,20(1):14-20.(朱嫣岚,闵锦,周雅倩,等.基于HowNet的词汇语义倾向计算[J].中文信息学报,2006,20(1):14-20.)
[9]WANG Z, WU Z, HU F. Words sentiment polarity calculation based on HowNet and PMI [J]. Computer Engineering, 2012,38(15):187-189.(王振宇,吴泽衡,胡方涛. 基于HowNet和PMI的词语情感极性计算[J].计算机工程,2012,38(15):187-189.)
[10]ZHANG C, LIU P, ZHU Z, et al.A sentiment analysis method based on a polarity lexicon [J]. Journal of Shandong University: Natural Science, 2012,47(3):47-50.(张成功,刘培玉,朱振方,等.一种基于极性词典的情感分析方法[J].山东大学学报:理学版,2012,47(3):47-50.)
[11]TURNEY P, LITTMAN M. Measuring praise and criticism: inference of semantic orientation from association [J]. ACM Transactions on Information Systems, 2003,21(4):315-346.
[12]DAVIDOV D, TSUR O, RAPPOPORT A. Enhanced sentiment learning using twitter hashtags and smileys [C]// Proceedings of the 23rd International Conference on Computational Linguistics: Posters. Stroudsburg: Association for Computational Linguistics, 2010:241-249.
[13]PANG L, LI S, ZHOU G. Sentiment classification method of Chinese micro-blog based on emotional knowledge [J]. Computer Engineering, 2012,38(13):156-158.(庞磊,李寿山,周国栋.基于情绪知识的中文微博情感分类方法[J].计算机工程,2012,38(13):156-158.)
[14]TANG H, TAN S, CHENG X. Research on sentiment classification of Chinese reviews based on supervised machine learning techniques [J]. Journal of Chinese Information Processing, 2007,21(6):88-94.(唐慧丰,谭松波,程学旗.基于监督学习的中文情感分类技术比较研究[J].中文信息学报,2007,21(6):88-94.)
[15]GIMPEL K, SCHNEIDER N, OCONNOR B, et al.Part-of-speech tagging for twitter: annotation, features, and experiments [C]// Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies. Stroudsburg: Association for Computational Linguistics, 2011,2:42-47.
[16]WILKS Y, STEVENSON M. The grammar of sense: using part-of-speech tags as a first step in semantic disambiguation [J]. Natural Language Engineering, 1998,4(2):135-143.
[17]TURNEY P D. Thumbs up or thumbs down? semantic orientation applied to unsupervised classification of reviews [C]// Proceedings of the 40th Annual Meeting on Association for Computational Linguistics. Stroudsburg: Association for Computational Linguistics, 2002:417-424.
[18]LUO R, FENG Z, LIU J. Prediction of protein structural class by amino acid and polypeptide composition [J]. European Journal of Biochemistry, 2002,269(17):4219-4225.
[19]CHOU K, CAI Y. Predicting protein structural class by functional domain composition [J]. Biochemical and Biophysical Research Communications, 2004,321(4):1007-1009.
[20]CHANG C, LIN C. LIBSVM: a library for support vector machines [EB/OL]. [2014-01-26]. http://www.csie.ntu.edu.tw/~cjlin/libsvm. |