参考文献
[1]徐戈,王厚峰.自然语言处理中主题模型的发展[J].计算机学报,2011,34(8):1423-1436.
[2]Ramage D,Manning C D,Dumais S.Partially Labeled Topic Models for Interpretable Text Mining[C]//Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.New York,USA:ACM Press,2011:457-465.
[3]孙艳,周学广,付伟.基于主题情感混合模型的无监督文本情感分析[J].北京大学学报(自然科学版),2013,49(1):102-108.
[4]杨赛,赵春霞.基于隐含狄利克雷分配模型的图像分类算法[J].计算机工程,2012,38(14):181-183.
[5]Deerwesler S,Dumais S T A.Indexing by Latent SemanticAnalysis[J].Journal of the Society for Information Science,1990,41(6):391-407.
[6]Hofmann T.Probabilistic Latent Semantic Analysis[C]//Proceedings of the 15th Conference on Uncertainty in Artificial Intelligence.Stockholm,Sweden:Morgan Kaufmann,1999:289-296.
[7]Blei D M,Ng A Y,Jordan M I.Latent Dirichlet Allocation[J].Journal of Machine Learning Research,2003,3(1):993-1022.
[8]Blei D M,Lafferty J D.Dynamic Topic Models[C]//Proceedings of the 23rd International Conference on Machine Learning.New York,USA:ACM Press,2006:113-120.
[9]Wang Chong,Blei D,Heckerman D.Continuous Time Dynamic Topic Models[C]//Proceedings of the 23rd Conference on Uncertainty in Artificial Intelligence.Corvallis,USA:AUAI Press,2008:579-586.
[10]Wang Xuerui,McCallum A.Topics over Time:A Non-Markov Continuous-time Model of Topical Trends[C]//Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.New York,USA:ACM Press,2006:424-
433.
[11]Sunehag P.Emerge and Spread Models and Word Burstiness[C]//Proceedings of the 11th International Conference on Artificial Intelligence and Statistics.Cambridge,USA:MIT Press,2007:540-547.
[12]Doyle G,Elkan C.Accounting for Burstiness in Topic Models[C]//Proceedings of the 26th International Conference on Machine Learning.New York,USA:ACM Press,2009:281-288.
[13]Sato I,Nakagawa H.Topic Models with Power-law Using Pitman-Yor Process[C]//Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.New York,USA:ACM Press,2010:673-682.
[14]Madsen R E,Kauchak D,Elkan C.Modeling Word Burstiness Using the Dirichlet Distribution[C]//Proceedings of the 22nd International Conference on Machine Learning.New York,USA:ACM Press,2005:545-552.
[15]Elkan C.Clustering Documents with an Exponential-family Approximation of the Dirichlet Compound Multinomial Distribution[C]//Proceedings of the 23rd International Conference on Machine Learning.New York,USA:ACM Press,2006:289-
296.
[16]Griffiths T L,Steyvers M.Finding Scientific Topics[J].Proceedings of the National Academy of Sciences,2004,101(S1):5228-5235.
[17]Owen C E B.Parameter Estimation for the Beta Distribution[D].Provo,USA:Brigham Young University,2008.
[18]Robert C,Casella G.Monte Carlo Statistical Methods[M].Berlin,Germany:Springer,2004.
[19]Wallach H M.Structured Topic Models for Language[D].Cambridge,UK:University of Cambridge,2008.
编辑陆燕菲 |