Online Topic Modeling

Online Topic Modeling is a computational method within topic modeling that incrementally infers and updates topic distributions from streaming text data, distinguishing itself from batch methods by processing documents sequentially in a single pass.

474

Publications

29.2K

Citations

1.5K

Authors

555

Institutions

Publications per year

2017–2026

250

Authors

1.5K

  1. DM
    David M. Blei

    Princeton University, United States

    5 publications · 3.2K citations

    5

    h-index

  2. AF
    Ahmad Fathan Hidayatullah

    Islamic University of Indonesia, Indonesia

    4 publications · 113 citations

    4

    h-index

  3. YZ
    Yadong Zhou

    Xi'an Jiaotong University, China

    4 publications · 104 citations

    4

    h-index

  4. EL
    Ee‐Peng Lim

    Singapore Management University, Singapore

    4 publications · 394 citations

    4

    h-index

  5. MJ
    Michael J. Paul

    Johns Hopkins University, United States

    4 publications · 495 citations

    4

    h-index

1–5 of 1.5K

Venues

  1. Journal of Medical Internet Research

    13 publications · 1.3K citations

    13

    h-index

  2. arXiv (Cornell University)

    Repository · 10 publications · 269 citations

    10

    h-index

  3. Expert Systems with Applications

    10 publications · 588 citations

    10

    h-index

  4. Social Network Analysis and Mining

    8 publications · 456 citations

    8

    h-index

  5. IEEE Access

    8 publications · 277 citations

    8

    h-index

1–5