Topic models with elements of neural networks: investigation of stability, coherence, and determining the optimal number of topics
Topic modeling is a widely used instrument for the analysis of large text collections. In the last few years, neural topic models and models with word embeddings have been proposed to increase the quality of topic solutions. However, these models were not extensively tested in terms of stability and...
Tallennettuna:
| Päätekijät: | , , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
PeerJ Inc.
2024-01-01
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| Sarja: | PeerJ Computer Science |
| Aiheet: | |
| Linkit: | https://peerj.com/articles/cs-1758.pdf |
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