PGLDA: enhancing the precision of topic modelling using poisson gamma (PG) and latent dirichlet allocation (LDA) for text information retrieval
The Poisson document length distribution has been used extensively in the past for modeling topics with the expectation that its effect will disintegrate at the end of the model definition. This procedure often leads to down Playing word correlation with topics and reducing retrieved documents�...
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| Format: | Thesis |
| Language: | English English English |
| Published: |
2021
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| Online Access: | http://eprints.uthm.edu.my/4890/1/24p%20IBRAHIM%20BALA%20BAKARI.pdf http://eprints.uthm.edu.my/4890/2/IBRAHIM%20BALA%20BAKARI%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/4890/3/IBRAHIM%20BALA%20BAKARI%20WATERMARK.pdf |