| Using tweets and emojis to build tead: an Arabic dataset for sentiment analysis H Abdellaoui, M Zrigui Computación y Sistemas 22 (3), 777-786, 2018 | 54 | 2018 |
| Ontology based description of an accessible learning object H Abdellaoui, MAB Mohamed, K Bacha, M Zrigui Fourth International Conference on Information and Communication Technology …, 2013 | 9 | 2013 |
| Analyse de sentiments et extraction des opinions pour les sites e-commerce: application sur la langue arabe MA Sghaier, H Abdellaoui, R Ayadi, M Zrigui 5th International Conference on Arabic Language Processing (CITALA), 2014 | 6 | 2014 |
| Method of enriching queries by contextual information to approve of information retrieval system in Arabic S Mallat, H Abdellaoui, M Maraoui, M Zrigui 2015 5th International Conference on Information & Communication Technology …, 2015 | 1 | 2015 |
| Using Deep Learning model for Sentiment Analysis in Arabic Microblogs H Abdellaoui, M Zrigui International Business Information Management Association Conference 31 …, 2018 | | 2018 |
| Using Tweets and Emojis to build an Arabic Dataset for Sentiment Analysis (TEAD) H Abdellaoui, M Zrigui | | |
Mounir Zriguifull professor in Computer Science AT Monastir universityVerified email at fsm.rnu.tn
