Dynamic Topic Models for Temporal Document Networks

被引:0
|
作者
Zhang, Delvin Ce [1 ]
Lauw, Hady W. [1 ]
机构
[1] School of Computing and Information Systems, Singapore Management University, 80 Stamford Road, Singapore, Singapore
来源
Proceedings of Machine Learning Research | 2022年 / 162卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:26281 / 26292
相关论文
共 50 条
  • [21] Topic Similarity Networks: Visual Analytics for Large Document Sets
    Maiya, Arun S.
    Rolfe, Robert M.
    2014 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2014, : 364 - 372
  • [22] Robust Unsupervised Segmentation of Degraded Document Images with Topic Models
    Burns, Timothy J.
    Corso, Jason J.
    CVPR: 2009 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-4, 2009, : 1287 - 1294
  • [23] A method of refining topic models based on term and document frequencies
    Higashi K.
    Takahashi H.
    Nakagawa H.
    Tsuchiya T.
    Computer Software, 2019, 36 (04) : 25 - 31
  • [24] TOPICVIEW: VISUAL ANALYSIS OF TOPIC MODELS AND THEIR IMPACT ON DOCUMENT CLUSTERING
    Crossno, Patricia J.
    Wilson, Andrew T.
    Shead, Timothy M.
    Davis, Warren L.
    Dunlavy, Daniel M.
    INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 2013, 22 (05)
  • [25] Temporal logic patterns for querying dynamic models of cellular interaction networks
    Monteiro, Pedro T.
    Ropers, Delphine
    Mateescu, Radu
    Freitas, Ana T.
    de Jong, Hidde
    BIOINFORMATICS, 2008, 24 (16) : I227 - I233
  • [26] Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models
    Foulds, James
    Kumar, Shachi H.
    Getoor, Lise
    INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 37, 2015, 37 : 777 - 786
  • [27] Exploiting Temporal Topic Models in Social Media Retrieval
    Tran, Tuan A.
    SIGIR 2012: PROCEEDINGS OF THE 35TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, 2012, : 999 - 999
  • [28] Bayesian Analysis of Dynamic Linear Topic Models
    Glynn, Chris
    Tokdar, Surya T.
    Howard, Brian
    Banks, David L.
    BAYESIAN ANALYSIS, 2019, 14 (01): : 53 - 80
  • [29] Application of dynamic topic models to toxicogenomics data
    Lee, Mikyung
    Liu, Zhichao
    Huang, Ruili
    Tong, Weida
    BMC BIOINFORMATICS, 2016, 17
  • [30] Using Temporal Language Models for Document Dating
    Kanhabua, Nattiya
    Norvag, Kjetil
    MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, PT II, 2009, 5782 : 738 - 741