Detecting topic evolution in scientific literature: how can citations help?
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Jian Pei | Qi He | C. Lee Giles | Prasenjit Mitra | Bi Chen | Baojun Qiu | P. Mitra | J. Pei | Qi He | Bi Chen | Baojun Qiu
[1] Andrew McCallum,et al. Topic and Role Discovery in Social Networks with Experiments on Enron and Academic Email , 2007, J. Artif. Intell. Res..
[2] Myra Spiliopoulou,et al. MONIC: modeling and monitoring cluster transitions , 2006, KDD '06.
[3] Chao Liu,et al. A probabilistic approach to spatiotemporal theme pattern mining on weblogs , 2006, WWW '06.
[4] Chong Wang,et al. Continuous Time Dynamic Topic Models , 2008, UAI.
[5] Steffen Bickel,et al. Unsupervised prediction of citation influences , 2007, ICML '07.
[6] Gideon S. Mann,et al. Bibliometric impact measures leveraging topic analysis , 2006, Proceedings of the 6th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL '06).
[7] Thomas L. Griffiths,et al. Probabilistic author-topic models for information discovery , 2004, KDD.
[8] Mark Steyvers,et al. Finding scientific topics , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[9] J. Lafferty,et al. Mixed-membership models of scientific publications , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[10] Gregor Heinrich. Parameter estimation for text analysis , 2009 .
[11] Myra Spiliopoulou,et al. Discovering Emerging Topics in Unlabelled Text Collections , 2006, ADBIS.
[12] James Allan,et al. Topic detection and tracking: event-based information organization , 2002 .
[13] James Allan,et al. Topic Detection and Tracking , 2002, The Information Retrieval Series.
[14] SaltonGerard,et al. Term-weighting approaches in automatic text retrieval , 1988 .
[15] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[16] C. Lee Giles,et al. Topic and Trend Detection in Text Collections Using Latent Dirichlet Allocation , 2009, ECIR.
[17] Deng Cai,et al. Topic modeling with network regularization , 2008, WWW.
[18] Padhraic Smyth,et al. Statistical entity-topic models , 2006, KDD '06.
[19] ChengXiang Zhai,et al. Discovering evolutionary theme patterns from text: an exploration of temporal text mining , 2005, KDD '05.
[20] CHENGXIANG ZHAI,et al. A study of smoothing methods for language models applied to information retrieval , 2004, TOIS.
[21] Satoshi Morinaga,et al. Tracking dynamics of topic trends using a finite mixture model , 2004, KDD.
[22] Dmitriy Fradkin,et al. Anticipating annotations and emerging trends in biomedical literature , 2008, KDD.
[23] Carl Lagoze,et al. Detecting research topics via the correlation between graphs and texts , 2007, KDD '07.
[24] Myra Spiliopoulou,et al. Topic Evolution in a Stream of Documents , 2009, SDM.
[25] Daniel Barbará,et al. On-line LDA: Adaptive Topic Models for Mining Text Streams with Applications to Topic Detection and Tracking , 2008, 2008 Eighth IEEE International Conference on Data Mining.
[26] Michael I. Jordan,et al. Modeling annotated data , 2003, SIGIR.
[27] Ramesh Nallapati,et al. Joint latent topic models for text and citations , 2008, KDD.
[28] C. Lee Giles,et al. Finding topic trends in digital libraries , 2009, JCDL '09.
[29] John D. Lafferty,et al. Dynamic topic models , 2006, ICML.
[30] Thorsten Brants,et al. Story Link Detection and New Event Detection are Asymmetric , 2003, HLT-NAACL.
[31] Xiang Ji,et al. Topic evolution and social interactions: how authors effect research , 2006, CIKM '06.
[32] Yiming Yang,et al. Link Detection – Results and Analysis , 1999 .
[33] Michael I. Jordan,et al. Hierarchical Dirichlet Processes , 2006 .
[34] David A. Cohn,et al. The Missing Link - A Probabilistic Model of Document Content and Hypertext Connectivity , 2000, NIPS.