Optimized Sentiments analysis Approach, Based On Aspects, Attention and Subjectivity notions For Textual Business Intelligence

Hammou Fadili

Journal Articles Revue d'Information Scientifique & Technique Year : 2020

Optimized Sentiments analysis Approach, Based On Aspects, Attention and Subjectivity notions For Textual Business Intelligence

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Hammou Fadili

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

CEDRIC. Ingénierie des Systèmes d'Information et de Décision

Fondation Maison des sciences de l'homme

CV

Domains

Artificial Intelligence [cs.AI] Computational Engineering, Finance, and Science [cs.CE] Document and Text Processing

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chapter_2_hammou_fadili.pdf (366.76 Ko)

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Hammou FADILI : Connect in order to contact the contributor

https://hal-cnam.archives-ouvertes.fr/hal-03093025

Submitted on : Monday, February 1, 2021-1:19:59 PM

Last modification on : Thursday, October 20, 2022-12:06:01 PM

Long-term archiving on: Sunday, May 2, 2021-7:16:42 PM

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hal-03093025 , version 1 (01-02-2021)

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HAL Id : hal-03093025 , version 1

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Hammou Fadili. Optimized Sentiments analysis Approach, Based On Aspects, Attention and Subjectivity notions For Textual Business Intelligence. Revue d'Information Scientifique & Technique , 2020. ⟨hal-03093025⟩

Optimized Sentiments analysis Approach, Based On Aspects, Attention and Subjectivity notions For Textual Business Intelligence

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