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題名:Word Co-occurrence Augmented Topic Model in Short Text
書刊名:International Journal of Computational Linguistics & Chinese Language Processing
作者:Chen, Guan-binKao, Hung-yu
出版日期:2015
卷期:20:2
頁次:頁45-63
主題關鍵詞:Short textTopic modelDocument clusteringDocument classification
原始連結:連回原系統網址new window
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  • 點閱點閱:85
期刊論文
1.Rand, William M.(1971)。Objective criteria for the evaluation of clustering methods。Journal of the American Statistical Association,66(336),846-850。  new window
2.Landauer, T. K.、Foltz, P. W.、Laham, D.(1998)。An Introduction to Latent Semantic Analysis。Discourse Processes,25(2/3),259-284。  new window
3.Divya, M.、Thendral, K.、Chitrakala, S.(2013)。A Survey on Topic Modeling。International Journal of Recent Advances in Engineering & Technology,1,57-61。  new window
4.Nigam, K.、McCallum, A. K.、Thrun, S.、Mitchell, T.(2000)。Text classification from labeled and unlabeled documents using EM。Machine Learning,39(2/3),103-134。  new window
5.Cheng, X.、Yan, X.、Lan, Y.、Guo, J.(2014)。BTM: Topic Modeling over Short Texts。Knowledge and Data Engineering, IEEE Transactions on,26(12),2928-2941。  new window
6.Griffiths, T. L.、Steyvers, M.、Blei, D. M.、Tenenbaum, J. B.(2004)。Integrating topics and syntax。Advances in neural information processing systems,17,537-544。  new window
7.Liu, J. S.(1994)。The collapsed Gibbs sampler in Bayesian computations with applications to a gene regulation problem。Journal of the American Statistical Association,89(427),958-966。  new window
8.Church, Kenneth Ward、Hanks, Patrick(1990)。Word Association Norms, Mutual Information, and Lexicography。Computational Linguistics,16(1),22-29。  new window
9.Blei, David M.、Ng, Andrew Y.、Jordan, Michael I.(2003)。Latent Dirichlet allocation。Journal of Machine Learning Research,3(4/5),993-1022。  new window
會議論文
1.Hofmann, Thomas(1999)。Probabilistic latent semantic analysis。The 15th Conference on Uncertainty in Artificial Intelligence。Morgan Kaufmann。289-296。  new window
2.Mimno, D.、Wallach, H. M.、Talley, E.、Leenders, M.、McCallum, A.(2011)。Optimizing semantic coherence in topic models。The 2011 Conference on Empirical Methods in Natural Language Processing,262-272。  new window
3.Yan, X.、Guo, J.、Lan, Y.、Cheng, X.(2013)。A biterm topic model for short texts。22nd international conference on World Wide Web。Rio de Janeiro, Brazil。1445-1456。  new window
4.Wallach, H. M.、Minmo, D.、McCallum, A.(2009)。Rethinking LDA: Why priors matter。Advances in Neural Information Processing Systems 22。  new window
5.Wallach, H. M.(2006)。Topic modeling: beyond bag-of-words。The 23rd international conference on Machine learning。Pittsburgh, Pennsylvania。977-984。  new window
6.Wang, X.、McCallum, A.、Wei, X.(2007)。Topical n-grams: Phrase and topic discovery, with an application to information retrieval。Seventh IEEE International Conference on Data Mining,697-702。  new window
7.Li, W.、McCallum, A.(2006)。Pachinko allocation: DAG-structured mixture models of topic correlations。The 23rd international conference on Machine learning。Pittsburgh, Pennsylvania。577-584。  new window
8.Chen, Z.、Liu, B.(2014)。Mining topics in documents: standing on the shoulders of big data。20th ACM SIGKDD international conference on Knowledge discovery and data mining。New York, New York, USA。1116-1125。  new window
9.Lin, C. X.、Zhao, B.、Mei, Q.、Han, J.(2010)。PET: a statistical model for popular events tracking in social communities。16th ACM SIGKDD international conference on Knowledge discovery and data mining,929-938。  new window
10.Ramage, Daniel、Dumais, Susan T.、Liebling, Dan J.(2010)。Characterizing Microblogs with Topic Models。Fourth International AAAI Conference on Weblogs and Social Media。  new window
11.Chen, J.、Nairn, R.、Nelson, L.、Bernstein, M.、Chi, E.(2010)。Short and tweet: experiments on recommending content from information streams。SIGCHI Conference on Human Factors in Computing Systems,1185-1194。  new window
12.Phelan, O.、McCarthy, K.、Smyth, B.(2009)。Using twitter to recommend real-time topical news。The third ACM conference on Recommender systems,385-388。  new window
13.Phan, X.-H.、Nguyen, L.-M.、Horiguchi, S.(2008)。Learning to classify short and sparse text & web with hidden topics from large-scale data collections。The 17th international conference on World Wide Web,91-100。  new window
14.Rosen-Zvi, M.、Griffiths, T.、Steyvers, M.、Smyth, P.(2004)。The author-topic model for authors and documents。The 20th conference on Uncertainty in artificial intelligence。AUAI Press。487-494。  new window
15.Jin, O.、Liu, N. N.、Zhao, K.、Yu, Y.、Yang, Q.(2011)。Transferring topical knowledge from auxiliary long texts for short text clustering。The 20th ACM international conference on Information and knowledge management,775-784。  new window
16.Hong, Liangjie、Davison, B. D.(2010)。Empirical study of topic modeling in twitter。The First Workshop on Social Media Analytics。New York:ACM Press。80-88。  new window
17.Ramage, D.、Hall, D.、Nallapati, R.、Manning, C. D.(2009)。Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora。The 2009 Conference on Empirical Methods in Natural Language Processing。Association for Computational Linguistics。248-256。  new window
圖書論文
1.Zhao, W. X.、Jiang, J.、Weng, J.、He, J.、Lim, E.-P.、Yan, H.(2011)。Comparing twitter and traditional media using topic models。Advances in Information Retrieval。  new window
 
 
 
 
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