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

Hammou Fadili

Conference Papers Year : 2019

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

(1)

1

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

Domains

Artificial Intelligence [cs.AI] Document and Text Processing

Hammou FADILI : Connect in order to contact the contributor

https://cnam.hal.science/hal-02542027

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

Last modification on : Friday, July 19, 2024-11:38:04 AM

Dates and versions

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

Identifiers

HAL Id : hal-02542027 , version 1

Cite

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

Domains

Dates and versions

Identifiers

Cite

Export

Collections

Share