Papers by Bruno Giovanni Galuzzi
OCTIS: Comparing and Optimizing Topic models is Simple! (2021.eacl-demos)
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| Challenge: | Current topic modeling frameworks focus on preprocessing, evaluation, comparison of models and visualization. |
| Approach: | They propose an evaluation framework for Topic Models with optimal hyper-parameters estimated using Bayesian Optimization approach. |
| Outcome: | The proposed framework integrates several state-of-the-art topic models and evaluation metrics. |