Skip to Main content Skip to Navigation
Journal articles

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

Hammou Fadili 1, 2 
1 CEDRIC - ISID - CEDRIC. Ingénierie des Systèmes d'Information et de Décision
CEDRIC - Centre d'études et de recherche en informatique et communications
2 FMSH - Fondation Maison des sciences de l'homme
Document type :
Journal articles
Complete list of metadata
https://hal-cnam.archives-ouvertes.fr/hal-03093025
Contributor : Hammou FADILI Connect in order to contact the contributor
Submitted on : Monday, February 1, 2021 - 1:19:59 PM
Last modification on : Wednesday, September 28, 2022 - 5:53:33 AM
Long-term archiving on: : Sunday, May 2, 2021 - 7:16:42 PM

File

Vignette du document
chapter_2_hammou_fadili.pdf
Publisher files allowed on an open archive

Licence

Distributed under a Creative Commons Attribution - ShareAlike 4.0 International License

Identifiers

  • HAL Id : hal-03093025, version 1

Collections

CNAM | RNMSH | UNIV-HESAM | CEDRIC-CNAM

Citation

Hammou Fadili. Optimized Sentiments analysis Approach, Based On Aspects, Attention and Subjectivity notions For Textual Business Intelligence. Revue d'Information Scientifique & Technique , Centre de Recherche sur l'Information Scientifique et Technique (CERIST), 2020. ⟨hal-03093025⟩

Export

BibTeX TEI DC DCterms EndNote Datacite

Share

Metrics

Record views

47

Files downloads

23