Papers by Felipe Viegas
CluHTM - Semantic Hierarchical Topic Modeling based on CluWords (2020.acl-main)
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| Challenge: | Hierarchical Topic modeling (HTM) exploits latent topics and relationships among them as a powerful tool for data analysis and exploration. |
| Approach: | They propose a hierarchical matrix factorization that exploits latent topics and relationships among them to create a powerful tool for data analysis and exploration. |
| Outcome: | The proposed method outperforms baselines and datasets in the vast majority of cases. |