BERT for Arabic Topic Modeling: An Experimental Study on BERTopic Technique

Author:

Abuzayed Abeer,Al-Khalifa Hend

Publisher

Elsevier BV

Subject

General Engineering

Reference18 articles.

1. “Unsupervised Learning by Probabilistic Latent Semantic Analysis,”;Hofmann;Mach. Learn.,2001

2. “Latent dirichlet allocation,”;Blei;J. Mach. Learn. Res.,2003

3. “Learning the parts of objects by non-negative matrix factorization,”;Lee;Nature,1999

4. S. Arora, R. Ge, and A. Moitra, “Learning Topic Models – Going beyond SVD,” in 2012 IEEE 53rd Annual Symposium on Foundations of Computer Science, Oct. 2012, pp. 1–10, doi: 10.1109/FOCS.2012.49.

5. Maarten Grootendorst, BERTopic: Leveraging BERT and c-TF-IDF to create easily interpretable topics. Zenodo, 2021.

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