An approach based on machine learning of latent semantics from textual (unstructured) data

Hammou Fadili

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An approach based on machine learning of latent semantics from textual (unstructured) data

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Hammou Fadili

Function : Author
PersonId : 182477
IdHAL : hammou-fadili
ORCID : 0000-0001-6283-3807

Centre d'études et de recherche en informatique et communications

CV

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Artificial Intelligence [cs.AI] Document and Text Processing

Hammou FADILI : Connect in order to contact the contributor

https://hal-cnam.archives-ouvertes.fr/hal-02542027

Submitted on : Tuesday, April 14, 2020-1:05:53 PM

Last modification on : Wednesday, September 28, 2022-5:54:49 AM

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hal-02542027 , version 1 (14-04-2020)

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HAL Id : hal-02542027 , version 1

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Hammou Fadili. An approach based on machine learning of latent semantics from textual (unstructured) data. The 5th International Conference on Business Intelligence (CBI), Apr 2019, Beni Mellal, Morocco. ⟨hal-02542027⟩

An approach based on machine learning of latent semantics from textual (unstructured) data

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