Combining semantic graph and probabilistic topic models for discovering coherent topics-Reference-Cited by-同舟云学术

Combining semantic graph and probabilistic topic models for discovering coherent topics

Published:2019-12-02 Issue:4 Volume:17 Page:365-379
ISSN:2405-6464
Container-title:Web Intelligence
language:
Short-container-title:WEB

Author:

Allahyari Mehdi¹,Pouriyeh Seyedamin²,Kochut Krys³

Affiliation:

1. Department of Computer Science, Georgia Southern University, Statesboro, GA, USA. E-mail: mallahyari@georgiasouthern.edu

2. Department of Information Technology, Kennesaw State University, Marietta, GA, USA. E-mail: spouriye@kennesaw.edu

3. Department of Computer Science, University of Georgia, Athens, GA, USA. E-mail: kochut@cs.uga.edu

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Networks and Communications,Software

Reference40 articles.

1. M. Allahyari and K. Kochut, Automatic topic labeling using ontology-based topic models, in: 14th International Conference on Machine Learning and Applications (ICMLA), IEEE, 2015.

2. Discovering Coherent Topics with Entity Topic Models

3. D. Andrzejewski, X. Zhu and M. Craven, Incorporating domain knowledge into topic modeling via Dirichlet forest priors, in: Proceedings of the 26th Annual International Conference on Machine Learning, ACM, 2009, pp. 25–32.

4. D. Andrzejewski, X. Zhu, M. Craven and B. Recht, A framework for incorporating general domain knowledge into latent Dirichlet allocation using first-order logic, in: IJCAI Proceedings – International Joint Conference on Artificial Intelligence, Vol. 2, 2011, pp. 1171–1177.

5. Linked Data

Cited by 3 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. LDA2Net Digging under the surface of COVID-19 scientific literature topics via a network-based approach;PLOS ONE;2024-04-03

2. How to discover consumer attention to design topics of fast fashion: a topic modeling approach;Journal of Fashion Marketing and Management: An International Journal;2023-09-05

3. Toward topic diversity in recommender systems: integrating topic modeling with a hashing algorithm;Aslib Journal of Information Management;2023-08-30