Author Beta-Liouville Multinomial Allocation Model

Faiza Tahsin, Hafsa Ennajari, Nizar Bouguila

2025

Abstract

Conventional topic models usually presume that topics are evenly distributed among documents. Sometimes, this presumption may not be true for many real-world datasets characterized by sparse topic representation. In this paper, we present the Author Beta-Liouville Multinomial Allocation Model (ABLiMA), an innovative approach to topic modeling that incorporates the Beta-Liouville distribution to better capture the variability and sparsity of topic presence across documents. In addition to the prior flexibility our model also leverages the authorship information, leading to more coherent topic diversity.ABLiMA can represent topics that may be entirely absent or only partially present in specific documents, offering enhanced flexibility and a more realistic depiction of topic proportions in sparse datasets. Experimental results on the 20 Newsgroups and NIPS datasets demonstrate superior performance of ABLiMA compared to conventional models, suggesting its ability to model complex topics in various textual corpora. This model is particularly advantageous for analyzing text with uneven topic distributions, such as social media or short-form content, where conventional assumptions often fall short.

Paper Citation

in Harvard Style

Tahsin F., Ennajari H. and Bouguila N. (2025). Author Beta-Liouville Multinomial Allocation Model. In Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-749-8, SciTePress, pages 251-258. DOI: 10.5220/0013288000003929

in Bibtex Style

@conference{iceis25,
author={Faiza Tahsin and Hafsa Ennajari and Nizar Bouguila},
title={Author Beta-Liouville Multinomial Allocation Model},
booktitle={Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2025},
pages={251-258},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013288000003929},
isbn={978-989-758-749-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Author Beta-Liouville Multinomial Allocation Model
SN - 978-989-758-749-8
AU - Tahsin F.
AU - Ennajari H.
AU - Bouguila N.
PY - 2025
SP - 251
EP - 258
DO - 10.5220/0013288000003929
PB - SciTePress