Relational topic models for document networks

by Jonathan Chang
Venue:In Proc. of Conf. on AI and Statistics (AISTATS
Citations:59 - 3 self

Active Bibliography

Submitted to the Annals of Applied Statistics HIERARCHICAL RELATIONAL MODELS FOR DOCUMENT NETWORKS – Jonathan Chang, David M. Blei
27 HIERARCHICAL RELATIONAL MODELS FOR DOCUMENT NETWORKS – Chang, David M. Blei
Document Discovery: Constructing Social Networks with Topic Modeling – Cen Zhang
3 Transforming Graph Data for Statistical Relational Learning – Ryan A. Rossi, Luke K. Mcdowell, David W. Aha, Jennifer Neville
Incorporating Popularity in Topic Models for Social Network Analysis – Youngchul Cha, Bin Bi, Chu-cheng Hsieh, Junghoo Cho
2 Topic Models Conditioned on Relations – Mirwaes Wahabzada, Zhao Xu, Kristian Kersting
24 Topic-Link LDA: Joint Models of Topic and Author Community – Yan Liu, Ru Niculescu-mizil, Wojciech Gryc
STRUCTURED TOPIC MODELS: JOINTLY MODELING WORDS AND THEIR ACCOMPANYING MODALITIES – Xuerui Wang, Padhraic Smyth Member, John Staudenmayer Member, Andrew G. Barto, Department Chair, Computer Science Geniy Gabrilovich, C. Lee Giles, Rebecca Hutchinson, Vanja Josifovski, Marcel Just, Michael Kelm, David Kulp, Wei Li, Natasha Mohanty, Sharlene Newman, Chris Pal, Bo Pang, Francisco Pereira, Jimeng Sun, Xing Wei, John Yen, David Mimno, Jason Naradowsky, Khashayar Rohanemanesh, Adam Saunders, Charles Sutton, Andrew Tolopko, Hanna Wallach, Michael Wick, Limin Yao - 2009
7 TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents – Ramesh Nallapati, Daniel Mcfarland, Christopher Manning
Mixtures-of-Clusterings by Boosting – Jonathan Chang, David M. Blei
000 001 – unknown authors
Text as Actuator: Text-Driven Response Modeling and Prediction in Politics – Tae Yano
DIMENSIONALITY REDUCTION AND TOPIC MODELING: FROM LATENT SEMANTIC INDEXING TO LATENT DIRICHLET ALLOCATION AND BEYOND – Steven P. Crain, Ke Zhou, Shuang-hong Yang, Hongyuan Zha
Generalized Relational Topic Models with Data Augmentation – Ning Chen, Jun Zhu, Fei Xia, Bo Zhang
Combi ni ng Li nk and Content for Communi ty Detecti on: A Discriminative Approach – Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu
Topic Models for Hypertext: How Many Words is a Single Link Worth? – Amit Gruber, Michal Rosen-zvi, Yair Weiss
3 Document Hierarchies from Text and Links – Qirong Ho, Jacob Eisenstein, Eric P. Xing
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence Context Sensitive Topic Models for Author Influence in Document Networks – Saurabh Kataria, Prasenjit Mitra, Cornelia Caragea, C. Lee Giles
3 Context Sensitive Topic Models for Author Influence in Document Networks ∗ – Saurabh Kataria, Prasenjit Mitra, Cornelia Caragea, C. Lee Giles