Learning sentiment and affects from large scale patients' narratives and biomedical documents using Neural Networks and Sentic computing: COVID-19 Case Study

Simple item page
dc.contributor.authorGrissette Hanane
dc.date.accessioned2022-06-21T14:09:04Z
dc.date.accessioned2026-01-26T12:36:24Z
dc.date.available2022-06-21T14:09:04Z
dc.date.issued2021-12-11
dc.description.collaboratorEl Beqqali, Omar (Président)
dc.description.collaboratorIdri, Ali (Rapporteur)
dc.description.collaboratorKissi, Mohamed (Rapporteur)
dc.description.collaboratorMahraz, Mohamed Adnane (Rapporteur)
dc.description.collaboratorTairi, Hamid (Examinateur)
dc.description.collaboratorZahi, Azeddine (Examinateur)
dc.description.collaboratorBoumhidi, Jaouad (Examinateur)
dc.description.collaboratorAzough, Ahmed (Examinateur)
dc.description.collaboratorNfaoui, El Habaib (Directeur de la thèse)
dc.description.laboratoireInformatique, Signaux, Automatique et Cognitivisme (LISAC), (LAB.)fr_FR
dc.identifier.urihttps://toubkalpreprod.imist.ma/handle/123456789/15003
dc.language.isoenfr_FR
dc.publisherLearning sentiment and affects from large scale patients' narratives and biomedical documents using Neural Networks and Sentic computing: COVID-19 Case Studyfr_FR
dc.relation.ispartofseries186/2022;
dc.subjectComputer sciencefr_FR
dc.subjectSentiment analysisfr_FR
dc.subjectAffective analysisfr_FR
dc.subjectSentic computingfr_FR
dc.subjectNeural networksfr_FR
dc.subjectSocial networkfr_FR
dc.subjectPatient narrativefr_FR
dc.titleLearning sentiment and affects from large scale patients' narratives and biomedical documents using Neural Networks and Sentic computing: COVID-19 Case Studyfr_FR

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
these-USMBA-FS.pdf
Size:
10.81 MB
Format:
Adobe Portable Document Format
Download

Collections

Faculté des Sciences - Dhar El Mahraz - Fès