Topic Modelling with Word Embeddings
This work aims at evaluating and comparing two different frameworks for the unsupervised topic modelling of the CompWHoB Corpus, namely our political-linguistic dataset. The first approach is represented by the application of the latent DirichLet Allocation (henceforth LDA), defining the evaluation...
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| Principais autores: | , , |
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| Formato: | Chapter |
| Idioma: | Inglês |
| Publicado em: |
Accademia University Press
2016
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| Acesso em linha: | https://doi.org/10.4000/books.aaccademia.1767 https://hdl.handle.net/20.500.13089/1d3d https://books.openedition.org/aaccademia/1767 |
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