A local context-aware LDA model for topic modeling in a document network-Reference-Cited by-同舟云学术

A local context-aware LDA model for topic modeling in a document network

Published:2017-04-13 Issue:6 Volume:68 Page:1429-1448
ISSN:2330-1635
Container-title:Journal of the Association for Information Science and Technology
language:en
Short-container-title:Journal of the Association for Information Science and Technology

Author:

Liu Yang¹,Xu Songhua¹²

Affiliation:

1. Department of Information Systems; College of Computing Sciences, New Jersey Institute of Technology; New Jersey

2. Research Center of Mathematical Educational Software; Guangzhou University; Guangzhou China

Publisher

Wiley

Subject

Library and Information Sciences,Information Systems and Management,Computer Networks and Communications,Information Systems

Reference54 articles.

1. Iterative and active graph clustering using trace norm minimization without cluster size constraints;Ailon;Journal of Machine Learning Research,2015

2. Asuncion , A. Welling , M. Smyth , P. Teh , Y.W. 2009 J.A. Bilmes A.Y. Ng 27 34 ) Montreal, Quebec, Canada AUAI Press

3. Blei , D.M. Lafferty , J.D. 2006 P. Abbeel M. Quigley A.Y. Ng 113 120) Pittsburgh, PA ACM

4. Latent Dirichlet allocation;Blei;Journal of Machine Learning Research,2003

5. Blunsom , P. Grefenstette , E. Kalchbrenner , N. 2014 655 665 Baltimore, MD ACL

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Gated Multi-channel Network Embedding for Large-scale Mobile App Clustering;KSII Transactions on Internet and Information Systems;2023-06-30

2. Fusion Matrix–Based Text Similarity Measures for Clustering of Retrieval Results;Scientometrics;2022-12-07

3. Ontology-based knowledge representation and semantic topic modeling for intelligent trademark legal precedent research;World Patent Information;2022-03

4. Computational Tools of Media Analysis for Corporate Policy Effectiveness Evaluation: Models and Their Reliability;Springer Series in Reliability Engineering;2022

5. A topic‐based term frequency normalization framework to enhance probabilistic information retrieval;Computational Intelligence;2020-05