[1] Blei D M, Ng A Y, Jordan M I. Latent Dirichlet allocation[J]. Journal of Machine Learning Research, 2003, 3:993-1022. [2] Lin C, He Y. Joint sentiment/topic model for sentiment analysis[C]//Proceedings of the 18th ACM Conference on Information and Knowledge Management. New York, NY, USA:ACM, 2009:375-384. [3] He Y, Lin C, Alani H. Automatically extracting polarity-bearing topics for cross-domain sentiment classification[C]//Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics:Human Language Technologies-Volume 1. Stroudsburg, PA, USA:Association for Computational Linguistics, 2011:123-131. [4] Lin C, He Y, Everson R, et al. Weakly supervised joint sentiment-topic detection from text[J].IEEE Transactions on Knowledge and Data Engineering, 2012, 24(6):1134-1145. [5] Jo Y, Oh A H. Aspect and sentiment unification model for online review analysis[C]//Proceedings of the 4th ACM International Conference on Web Search and Data Mining. New York, NY, USA:ACM, 2011:815-824. [6] 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.SUN Yan, ZHOU Xueguang, FU Wei. Unsupervised topic and sentiment unification model for sentiment analysis[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2013, 49(1):102-108. (in Chinese) [7] Li F, Huang M, Zhu X. Sentiment analysis with global topics and local dependency[C]//Twenty-Fourth AAAI Conference on Artificial Intelligence. Hamilton, Canada:AAAI, 2010:1371-1376. [8] Moghaddam S, Ester M. On the design of LDA models for aspect-based opinion mining[C]//Proceedings of the 21st ACM International Conference on Information and Knowledge Management. New York, NY, USA:ACM, 2012:803-812. [9] Titov I, McDonald R T. A joint model of text and aspect ratings for sentiment summarization[C]//The 46th Annual Meeting of the Association for Computational Linguistics:Human Language Technologies. Stroudsburg, PA, USA:Association for Computational Linguistics, 2008:308-316. [10] Titov I, McDonald R. Modeling online reviews with multi-grain topic models[C]//Proceedings of the 17th International Conference on World Wide Web. New York, NY, USA:ACM, 2008:111-120. [11] Chen Z, Mukherjee A, Liu B. Aspect extraction with automated prior knowledge learning[C]//Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics. Stroudsburg, PA, USA:Association for Computational Linguistics, 2014:347-358. [12] Wu Y, Ester M. FLAME:A probabilistic model combining aspect based opinion mining and collaborative filtering[C]//Proceedings of the Eighth ACM International Conference on Web Search and Data Mining. New York, NY, USA:ACM, 2015:199-208. [13] Mcauley J, Pandey R, Leskovec J. Inferring networks of substitutable and complementary products[C]//Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, NY, USA:ACM, 2015:785-794. [14] Walsh B. Markov chain Monte Carlo and Gibbs sampling[J]. Notes, 2004, 91(8):497-537. [15] 冯淑芳, 王素格. 面向观点挖掘的汽车评价本体知识库的构建[J]. 计算机应用与软件, 2011, 28(5):45-47.FENG Shufang, WANG Suge. Automobile reviews ontology knowledge base construction oriented towards opinion mining[J]. Computer Applications & Software, 2011, 28(5):45-47. (in Chinese)