Concepedia

Scalable Topic Modeling

Scalable Topic Modeling is a topic modeling approach that belongs to the broader class of probabilistic and statistical methods for uncovering latent thematic structures in large-scale text corpora, distinguished by its capacity to efficiently process massive datasets through algorithmic and computational optimizations.

142

Publications

12.9K

Citations

435

Authors

157

Institutions

Publications per year

2017–2026

55

Parents

Publications

142

Software Framework for Topic Modelling with Large Corpora

Petr Sojka · 2010 · 3.8K citations · Full text

, , +11

Stochastic variational inference

Matthew D. Hoffman, David M. Blei, Chong Wang et al. · Journal of Machine Learning Research · 2013 · 1.5K citations

, , +17

Characterizing Microblogs with Topic Models

Daniel Ramage, Susan Dumais, Dan Liebling · Proceedings of the International AAAI Conference on Web and Social Media · 2010 · 724 citations · Full text

, , +10

Artificial intelligence in marketing: Topic modeling, scientometric analysis, and research agenda

Mekhail Mustak, Joni Salminen, Loïc Plé et al. · Journal of Business Research · 2020 · 513 citations

, , +11

An architecture for parallel topic models

Alexander J. Smola, Shravan Narayanamurthy · Proceedings of the VLDB Endowment · 2010 · 431 citations

, , +14

1–5 of 142

Authors

435

  1. JZ
    Jun Zhu

    Tsinghua University, China

    8 publications · 271 citations

    8

    h-index

  2. EP
    Eric P. Xing

    Carnegie Mellon University, United States

    6 publications · 312 citations

    6

    h-index

  3. JC
    Jianfei Chen

    Tsinghua University, China

    5 publications · 222 citations

    5

    h-index

  4. JB
    Jordan Boyd‐Graber

    University of Maryland, College Park, United States

    5 publications · 214 citations

    5

    h-index

  5. DM
    David M. Blei

    Princeton University, United States

    5 publications · 1.7K citations

    5

    h-index

1–5 of 435

Institutions

157

  1. Microsoft (United States)

    Redmond, United States

    8 h-index

    13 publications

    2.5K citations

  2. Tsinghua University

    Beijing, China

    8 h-index

    25 publications

    934 citations

  3. Carnegie Mellon University

    Pittsburgh, United States

    8 h-index

    23 publications

    3.2K citations

  4. The University of Texas at Austin

    Austin, United States

    6 h-index

    10 publications

    359 citations

  5. Princeton University

    Princeton, United States

    5 h-index

    7 publications

    1.9K citations

  6. Microsoft Research Asia (China)

    Beijing, China

    5 h-index

    11 publications

    957 citations

  7. Peking University

    Beijing, China

    4 h-index

    6 publications

    247 citations

  8. Stanford University

    Stanford, United States

    4 h-index

    4 publications

    763 citations

1–8 of 157

Venues

  1. arXiv (Cornell University)

    Repository · 16 publications · 533 citations

    13

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 5 publications · 743 citations

    5

    h-index

  3. Neural Information Processing Systems

    Conference · 3 publications · 76 citations

    3

    h-index

  4. 3

    h-index

  5. Marketing Science

    2 publications · 198 citations

    2

    h-index

1–5