Hierarchical Topic Model Inference by Community Discovery on Word Co-occurrence Networks

Author:

Austin EricORCID,Trabelsi AmineORCID,Largeron ChristineORCID,Zaïane Osmar R.ORCID

Publisher

Springer Nature Singapore

Reference41 articles.

1. Aletras, N., Stevenson, M.: Evaluating topic coherence using distributional semantics. In: Proceedings of the 10th International Conference on Computational Semantics (IWCS 2013)-Long Papers, pp. 13–22 (2013)

2. Austin, E., Zaïane, O., Largeron, C.: Community topic: topic model inference by consecutive word community discovery. In: Proceedings of COLING 2022, the 32nd International Conference on Computational Linguistics (2022)

3. Blei, D., Lafferty, J.: Correlated topic models. In: Advances in Neural Information Processing Systems, vol. 18, p. 147 (2006)

4. Blei, D., Lafferty, J.: Dynamic topic models. In: Proceeding of the 23rd International Conference on Machine Learning, pp. 113–120 (2006). https://doi.org/10.1145/1143844.1143859

5. Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3(Jan), 993–1022 (2003). https://doi.org/10.1016/B978-0-12-411519-4.00006-9

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