A hybrid word embedding model based on admixture of poisson-gamma latent dirichlet allocation model and distributed word-document- topic representation
This paper proposes a hybrid Poisson-Gamma Latent Dirichlet Allocation (PGLDA) model designed for modelling word dependencies to accommodate the semantic representation of words. The new model simultaneously overcomes the shortcomings of complexity by using LDA as the baseline model as well as adequ...
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| 主要な著者: | , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Little Lion Scientific
2020
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| 主題: | |
| オンライン･アクセス: | http://eprints.uthm.edu.my/6132/1/AJ%202020%20%28203%29.pdf http://eprints.uthm.edu.my/6132/ |
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