Topic modeling on a classical Swedish text corpus of prose fiction : Hyperparameters’ effect on theme composition and identification of writing style
A topic modeling method, smoothed Latent Dirichlet Allocation (LDA) is applied on a text corpus data of classical Swedish prose fiction. The thesis consists of two parts. In the first part, a smoothed LDA model is applied to the corpus, investigating how changes in hyperparameter values affect the t...
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| Format: | Others |
| Language: | English |
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Uppsala universitet, Statistiska institutionen
2021
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-441653 |