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Hierarchical Latent Semantic Mapping for Automated Topic Generation
Much of information sits in an unprecedented amount of text data. Managing allocation of these large scale text data is an important problem for many areas. Topic modeling performs well in this problem. The traditional generative models (PLSA,LDA) are the state-of-the-art approaches in topic modelin...
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| Asıl Yazarlar: | , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Atlantis Press
2016-03-01
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| Seri Bilgileri: | International Journal of Networked and Distributed Computing (IJNDC) |
| Konular: | |
| Online Erişim: | https://www.atlantis-press.com/article/25852980.pdf |
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