[1]赵妍妍,秦兵,刘挺. 文本情感分析[J]. 软件学报, 2010,21(8):1834-1848
[2]Balahur A, Steinberger R, Kabadjov M, et al. Sentiment analysis in the news[C]// Proceedings of the 7th International Conference on Language Resources and Evaluation (LREC2010). 2010:2216-2220.
[3]Jiang Long, Yu Mo, Zhou Ming, et al. Targetdependent twitter sentiment classification[C]// Proc. of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies.2011:151-160.
[4]杨立公,朱俭,汤世平. 文本情感分析综述[J]. 计算机应用, 2013,33(6):1574-1578.
[5]Taboada M, Brooke J, Tofiloski M, et al.Lexiconbased methods for sentiment analysis[J]. Computational Linguistics, 2011,37(2):267-307.
[6]Wiebe J, Bruce R F, Ohara T P. Development and use of a goldstandard data set for subjectivity classifications[C] // Proceedings of Association for Computational Linguistics. 1999:246-253.
[7]Hatzivassiloglou V, Klavans J L, Holcombe M L, et al. SIMFINDER: A flexible clustering tool for summarization[C]// Proceedings of the Workshop on Summarization in NAACL01. 2001:41-49.
[8]Riloff E, Wiebe J. Learning extraction patterns for subjective expressions[C]// Proceeding of the 2003 Conference on Empirical Methods in Natural Language Processing. 2003:105-112.
[9]刘康,赵军. 基于层叠CRFs模型的句子褒贬度分析研究[J]. 中文信息学报, 2008,22(1):123-128.
[10]Pang B, Lilian L, Shivakumar V. Thumbs up: Sentiment classification using machine learning techniques[C]// Proceedings of the ACL02 Conference on Empirical Methods in Natural Language Processing. 2002:79-86.
[11]李婷婷,姬东鸿. 基于SVM和CRF多特征组合的微博情感分析[J]. 计算机应用研究, 2015,32(4):978-981.
[12]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.
[13]Perter Harrington. Machine Learning in Action[M] . 李锐,李鹏,曲亚东,等译. 北京:人民邮电出版社, 2013.
[14]樊康新. 基于SVM的网络文本情感分类系统的研究与设计[J]. 计算机时代, 2015,12(9):34-37.
[15]徐晓明. SVM参数寻优及其在分类中的应用[D]. 大连:大连海事大学, 2014.
[16]王健峰,张磊,陈国兴,等. 基于改进的网格搜索法的SVM参数优化[J]. 应用科技, 2012(3):28-31.
[17]王兴玲, 李占斌. 基于网格搜索的支持向量机核函数参数的确定[J]. 中国海洋大学学报(自然科学版), 2005,35(5):859-862.
|