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.1214. 工程科学学报,第41卷,第9期 [10]Zhou YT,Tang J B,Wu Z G.Method of multi-topie Web text on Word2Vee.Comput Sci,2016,43(6):214 classification based on VSM.Appl Res Comput,2008,25 (1): (唐明,朱磊,邹显春.基于Wod2Vee的一种文档向量表 142 示.计算机科学,2016,43(6):214) (周炎涛,唐剑波,吴正国.基于向量空间模型的多主题 [17]Zhang D.Li S D.Topic detection based on K-means//Interna- Wh文本分类方法.计算机应用研究,2008.25(1):142) tional Conference on Electronics,Communications and Control [11]Blei D M,Ng A Y,Jordan M I.Latent dirichlet allocation.J (/CECC).Ningho,2011:2983 Mach Learn Res,2003,3:993 [18]Meng Z Q,Shen S M,Chen Q L.A network decomposition- [12]Huang B,Yang Y,Mahmood A,et al.Microblog topic detection based text clustering algorithm for topic detection.Appl Mech Ma- based on LDA model and single-pass clustering//International ter,2013,239-240:1318 Conference on Rough Sets and Current Trends in Computing.Ber- [19]Yi X L,Zhao X,Ke N,et al.An improved Single-Pass cluste- lin:Springer,2012 ring algorithm internet-oriented network topic detection /Fourth [13]Hu X L Micro-blog topie drift detection based on VSM and LDA International Conference on Intelligent Control and Information models.J Lanzhou Univ Technol,2015,41(5):104 Processing (ICICIP).Beijing,2013:560 (胡秀丽.基于VSM和LDA模型相结合的微博话题漂移检 [20]Huang S,Peng X P,Niu Z D,et al.News topic detection based 测.兰州理工大学学报,2015,41(5):104) on hierarchical clustering and named entity /7th International [14]Wang ZZ,He M.Du Y P.Text similarity computing based on Conference on Natural Language Processing And Knouledge Engi- topic model LDA.Comput Sci,2013.40(12):229 neering.Tokushima,2011:280 (王振振,何明,杜永萍.基于LDA主题模型的文本相似度 [21]Lei Z,Wu L D.Lei L,et al.Incremental K-means method 计算.计算机科学,2013,40(12):229) based on initialisation of cluster centers and its application in [15]Hinton G E.Learning distributed representations of concepts / news event detection.J Chin Soc Sci Tech Inf,2006,25(3): Proceedings of the Eighth Annual Conference of the Cognitive Sci- 289 ence Society.Amherst,1986:1 (雷震,吴玲达,雷蕾,等.初始化类中心的增量K均值法及 [16]Tang M,Zhu L,Zou X C.Document vector representation based 其在新闻事件探测中的应用.情报学报,2006,25(3):289)工程科学学报,第 41 卷,第 9 期 [10] Zhou Y T, Tang J B, Wu Z G. Method of multi鄄topic Web text classification based on VSM. Appl Res Comput, 2008, 25 (1): 142 (周炎涛, 唐剑波, 吴正国. 基于向量空间模型的多主题 Web 文本分类方法. 计算机应用研究, 2008, 25(1): 142) [11] Blei D M, Ng A Y, Jordan M I. Latent dirichlet allocation. J Mach Learn Res, 2003, 3: 993 [12] Huang B, Yang Y, Mahmood A, et al. Microblog topic detection based on LDA model and single鄄pass clustering / / International Conference on Rough Sets and Current Trends in Computing. Ber鄄 lin: Springer, 2012 [13] Hu X L. Micro鄄blog topic drift detection based on VSM and LDA models. J Lanzhou Univ Technol, 2015, 41(5): 104 (胡秀丽. 基于 VSM 和 LDA 模型相结合的微博话题漂移检 测. 兰州理工大学学报, 2015, 41(5): 104) [14] Wang Z Z, He M, Du Y P. Text similarity computing based on topic model LDA. Comput Sci, 2013, 40(12): 229 (王振振, 何明, 杜永萍. 基于 LDA 主题模型的文本相似度 计算. 计算机科学, 2013, 40(12): 229) [15] Hinton G E. Learning distributed representations of concepts / / Proceedings of the Eighth Annual Conference of the Cognitive Sci鄄 ence Society. Amherst, 1986: 1 [16] Tang M, Zhu L, Zou X C. Document vector representation based on Word2Vec. Comput Sci, 2016, 43(6): 214 (唐明, 朱磊, 邹显春. 基于 Word2Vec 的一种文档向量表 示. 计算机科学, 2016, 43(6): 214) [17] Zhang D, Li S D. Topic detection based on K鄄means / / Interna鄄 tional Conference on Electronics, Communications and Control (ICECC). Ningbo, 2011: 2983 [18] Meng Z Q, Shen S M, Chen Q L. A network decomposition鄄 based text clustering algorithm for topic detection. Appl Mech Ma鄄 ter, 2013, 239鄄240: 1318 [19] Yi X L, Zhao X, Ke N, et al. An improved Single鄄鄄Pass cluste鄄 ring algorithm internet鄄oriented network topic detection / / Fourth International Conference on Intelligent Control and Information Processing (ICICIP). Beijing, 2013: 560 [20] Huang S, Peng X P, Niu Z D, et al. News topic detection based on hierarchical clustering and named entity / / 7th International Conference on Natural Language Processing And Knowledge Engi鄄 neering. Tokushima, 2011: 280 [21] Lei Z, Wu L D, Lei L, et al. Incremental K鄄means method based on initialisation of cluster centers and its application in news event detection. J Chin Soc Sci Tech Inf, 2006, 25 (3): 289 (雷震, 吴玲达, 雷蕾, 等. 初始化类中心的增量 K 均值法及 其在新闻事件探测中的应用. 情报学报, 2006, 25(3): 289) ·1214·
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