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Communication dans un congrès

A Credibility and Classification-Based Approach for Opinion Analysis in Social Networks

Lobna Azaza 1, * Fatima Zohra Ennaji, 2 Zakaria Maamar 3 El Fazziki Abdelaziz 2 Marinette Savonnet 1 Mohamed Sadgal, 2 Eric Leclercq 1 Idir Amine Amarouche 4 Djamal Benslimane 5
* Auteur correspondant
1 Le2i - Laboratoire Electronique, Informatique et Image [UMR6306]
2 LISI Lab., Université de Marrakecch
3 CITZU - CIT, Zayed University, Dubai
4 USTHB - Université des Sciences et de la Technologie Houari Boumediene [Alger]
5 SOC - Service Oriented Computing
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : There is an ongoing interest in examining users' experiences made available through social media. Unfortunately these experiences like reviews on products and/or services are sometimes conflicting and thus, do not help develop a concise opinion on these products and/or services. This paper presents a multi-stage approach that extracts and consolidates reviews after addressing specific issues such as user multi-identity and user limited credibility. A system along with a set of experiments demonstrate the feasibility of the approach.
Keywords : Multi-identity Opinion Credibility Reputation Social media
Type de document :
Communication dans un congrès
Liste complète des métadonnées
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01442692
Contributeur : Le2i - Université de Bourgogne <>
Soumis le : vendredi 20 janvier 2017 - 19:28:30
Dernière modification le : vendredi 17 juillet 2020 - 14:54:10

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Citation

Lobna Azaza, Fatima Zohra Ennaji,, Zakaria Maamar, El Fazziki Abdelaziz, Marinette Savonnet, et al.. A Credibility and Classification-Based Approach for Opinion Analysis in Social Networks. 6th International Conference on Model and Data Engineering (MEDI), Sep 2016, Almeria, Spain. pp.303-316 ⟨10.1007/978-3-319-45547-1_24⟩. ⟨hal-01442692⟩

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