A Topic Coverage Approach to Evaluation of Topic Models
Topic models are widely used unsupervised models capable of learning topics – weighted lists of words and documents – from large collections of text documents. When topic models are used for discovery of topics in text collections, a question that arises naturally is how well the model...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
IEEE
2021-01-01
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| Col·lecció: | IEEE Access |
| Matèries: | |
| Accés en línia: | https://ieeexplore.ieee.org/document/9526605/ |
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