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Mohand Boughanem

Biographic Data

ID4978128
NAMEMohand Boughanem
GIVEN NAMESMohand
FAMILY NAMEBoughanem
SIGNATUREBOUGHANEM M
AFFILIATIONSCentre National de la Recherche Scientifique
ORCID0000-0001-7004-0807
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS1
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2005
LATEST PUBLICATION YEAR2018
H-INDEX1
  • Élysée2017fr: The 2017 French Presidential Campaign on Twitter

    Open Access•Ophélie Fraisier, Guillaume Cabanac et al.•ARTICLE•Proceedings of the International…•2018•Cited by: 1

    The French presidential election was one of the main political event of 2017, and triggered a lot of activity on Twitter. The campaign was highly unpredictable and led to the rise of 5 main parties instead of the historical bipartite (left-right) confrontation, ranging from far-left to far-right. This dataset paper proposes #Élysée2017fr, a large and complex dataset of 22853 Twitter profiles active during the campaign (from November 2016 to May 2…

  • Opinion mining: Reviewed from word to document level

    Open Access•Malik Muhammad Saad Missen, Mohand Boughanem et al.•ARTICLE•Social Network Analysis and Mining•2013

  • Conceptual Indexing Based on Document Content Representation

    Mustapha Baziz, Mohand Boughanem et al.•CHAPTER•Context: nature, impact, and role•2005

  • Élysée2017fr: The 2017 French Presidential Campaign on Twitter

    Open Access•Ophélie Fraisier, Guillaume Cabanac et al.•ARTICLE•Proceedings of the International…•2018•Cited by: 1

    The French presidential election was one of the main political event of 2017, and triggered a lot of activity on Twitter. The campaign was highly unpredictable and led to the rise of 5 main parties instead of the historical bipartite (left-right) confrontation, ranging from far-left to far-right. This dataset paper proposes #Élysée2017fr, a large and complex dataset of 22853 Twitter profiles active during the campaign (from November 2016 to May 2…

  • Conceptual Indexing Based on Document Content Representation

    Mustapha Baziz, Mohand Boughanem et al.•CHAPTER•Context: nature, impact, and role•2005

  • Opinion mining: Reviewed from word to document level

    Open Access•Malik Muhammad Saad Missen, Mohand Boughanem et al.•ARTICLE•Social Network Analysis and Mining•2013

  • Élysée2017fr: The 2017 French Presidential Campaign on Twitter

    Open Access•Ophélie Fraisier, Guillaume Cabanac et al.•ARTICLE•Proceedings of the International…•2018•Cited by: 1

    The French presidential election was one of the main political event of 2017, and triggered a lot of activity on Twitter. The campaign was highly unpredictable and led to the rise of 5 main parties instead of the historical bipartite (left-right) confrontation, ranging from far-left to far-right. This dataset paper proposes #Élysée2017fr, a large and complex dataset of 22853 Twitter profiles active during the campaign (from November 2016 to May 2…

Computer Science (3 works) · Data science (2 works) · Information retrieval (2 works) · Political science (2 works) · Politics (2 works) · Social media (2 works) · Topic Modeling (2 works) · World Wide Web (2 works) · Advanced Text Analysis Techniques (1 works) · Artificial Intelligence (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae