Continuous Time Dynamic Topic Models

Keywords

Perplexity, Computer science, Discretization, Inference, Granularity

References

• Overview of the First Text REtrieval Conference (TREC-1)Donna Harman — 1992
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• Topic and Role Discovery in Social NetworksAndrew McCallum, Andrés Corrada-Emmanuel, Xuerui Wang — 2005
• Probabilistic Latent Semantic AnalysisThomas Hofmann — 1999
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• Finding scientific topicsThomas L. Griffiths, Mark Steyvers — 2004
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• Variational inference for Markov jump processesManfred Opper, Guido Sanguinetti — 2007
• Topics over time: a non-Markov continuous-time model of topical trendsXuerui Wang, Andrew McCallum — 2006
• The Author-Topic Model for Authors and DocumentsMichal Rosen‐Zvi, Thomas L. Griffiths, Mark Steyvers — 2004

Cited by

• Nonstationary latent Dirichlet allocation for speech recognitionChuang-Hua Chueh, Jen‐Tzung Chien — 2009
• Sequential Topic Models for Mining Recurrent Activities and their RelationshipsJagannadan Varadarajan — 2012
• A temporal model of text periodicities using Gaussian ProcessesDaniel Preoțiuc-Pietro, Trevor Cohn — 2013
• Semi-automatic Construction of Cross-period ThesaurusChaya Liebeskind, Ido Dagan, Jonathan Schler — 2013
• Learning Temporal Dynamics of Behavior Propagation in Social NetworksJun Zhang, Chaokun Wang, Jianmin Wang — 2014
• Markov Topic ModelsChong Wang, Bo Thiesson, Christopher Meek — 2009
• Mining Chat Logs to Extract Information about Authors and Topics for Crime InvestigationMohd Abul Basher, Abdur Rahman — 2011
• Dynamic and Supervised Topic Models for Literature-Based DiscoveryDavid M. Blei — 2011
• Συστήματα προτάσεων με πιθανοτικά μοντέλα θεμάτωνKonstantinos Christidis — 2013
• Models, Inference, and Implementation for Scalable Probabilistic Models of TextKe Zhai — 2014
• Mining text and time series data with applications in financeJoe Staines — 2015
• Torpedo: topic periodicity discovery from text dataJingjing Wang, Hongbo Deng, Jiawei Han — 2015
• Estimating Temporal Dynamics of Human EmotionsSeung‐Yeon Kim, Joonseok Lee, Guy Lebanon — 2015
• Discovering hierarchical topic evolution in time‐stamped documentsJun Song, Yu Huang, Xiang Qi — 2016
• Visualization of Clandestine Labs from Seizure Reports: Thematic Mapping and Data Mining Research DirectionsWilliam Hsu, Mohammed Abduljabbar, Ryuichi Osuga — 2015
• Modeling the diversity and log-normality of dataKhoat Than, Tu Bao Ho — 2014
• Ontology Learning and Knowledge Discovery Using the Web: Challenges and Recent AdvancesWilson Wong, Wei Liu, Mohammed Bennamoun — 2011
• Steering Time-Dependent Estimation of Posteriors with Hyperparameter Indexing in Bayesian Topic ModelsTomonari Masada, Atsuhiro Takasu, Yuichiro Shibata — 2011
• Continuous Time Group Discovery in Dynamic GraphsKurt T. Miller, Tina Eliassi‐Rad — 2010
• AR-Tracker: Track the Dynamics of Mobile Apps via User Review MiningCuiyun Gao, Hui Xu, Junjie Hu — 2015

Related papers

• Topics over time: a non-Markov continuous-time model of topical trendsXuerui Wang, Andrew McCallum — 2006
• Hierarchical Dirichlet ProcessesYee Whye Teh, Michael I. Jordan, Matthew J. Beal — 2006
• The author-topic model for authors and documentsMichal Rosen‐Zvi, Thomas Griffiths, Mark Steyvers — 2004
• Probabilistic Latent Semantic IndexingThomas Hofmann — 1999
• Dynamic topic modelsDavid M. Blei, John Lafferty — 2006
• Finding scientific topicsThomas L. Griffiths, Mark Steyvers — 2004
• Latent Dirichlet AllocationDavid M. Blei, Andrew Y. Ng, Michael I. Jordan — 2003
• Probabilistic topic modelsDavid M. Blei — 2012
• Online Learning for Latent Dirichlet AllocationMatthew D. Hoffman, Francis Bach, David M. Blei — 2010
• Indexing by Latent Semantic AnalysisScott Deerwester, Susan Dumais, George W. Furnas — 1990