Hazem Hajj
Hazem Hajj
Associate Professor, American University of Beirut
Потвърден имейл адрес: aub.edu.lb
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Позовавания
Позовавания
Година
Sentence-level and document-level sentiment mining for arabic texts
N Farra, E Challita, R Abou Assi, H Hajj
2010 IEEE international conference on data mining workshops, 1114-1119, 2010
1932010
A large scale Arabic sentiment lexicon for Arabic opinion mining
G Badaro, R Baly, H Hajj, N Habash, W El-Hajj
Proceedings of the EMNLP 2014 workshop on arabic natural language processing …, 2014
1492014
A framework for emotion mining from text in online social networks
M Yassine, H Hajj
2010 IEEE International Conference on Data Mining Workshops, 1136-1142, 2010
1272010
Arabert: Transformer-based model for arabic language understanding
W Antoun, F Baly, H Hajj
arXiv preprint arXiv:2003.00104, 2020
110*2020
Emotion recognition from text based on automatically generated rules
S Shaheen, W El-Hajj, H Hajj, S Elbassuoni
2014 IEEE International Conference on Data Mining Workshop, 383-392, 2014
922014
Deep learning models for sentiment analysis in Arabic
A Al Sallab, H Hajj, G Badaro, R Baly, W El-Hajj, K Shaban
Proceedings of the second workshop on Arabic natural language processing, 9-17, 2015
822015
Wafer classification using support vector machines
R Baly, H Hajj
IEEE Transactions on Semiconductor Manufacturing 25 (3), 373-383, 2012
742012
Aroma: A recursive deep learning model for opinion mining in arabic as a low resource language
A Al-Sallab, R Baly, H Hajj, KB Shaban, W El-Hajj, G Badaro
ACM Transactions on Asian and Low-Resource Language Information Processing …, 2017
572017
Multiscale feature detector using filter banks
HM Hajj, RT Chin, TQ Nguyen
US Patent 6,064,768, 2000
542000
A hybrid approach with collaborative filtering for recommender systems
G Badaro, H Hajj, W El-Hajj, L Nachman
2013 9th international wireless communications and mobile computing …, 2013
492013
A sentiment treebank and morphologically enriched recursive deep models for effective sentiment analysis in arabic
R Baly, H Hajj, N Habash, KB Shaban, W El-Hajj
ACM Transactions on Asian and Low-Resource Language Information Processing …, 2017
472017
Slow port scanning detection
M Dabbagh, AJ Ghandour, K Fawaz, W El Hajj, H Hajj
2011 7th International Conference on Information Assurance and Security (IAS …, 2011
362011
A characterization study of arabic twitter data with a benchmarking for state-of-the-art opinion mining models
R Baly, G Badaro, G El-Khoury, R Moukalled, R Aoun, H Hajj, W El-Hajj, ...
Proceedings of the third Arabic natural language processing workshop, 110-118, 2017
332017
Comparative evaluation of sentiment analysis methods across Arabic dialects
R Baly, G El-Khoury, R Moukalled, R Aoun, H Hajj, KB Shaban, W El-Hajj
Procedia Computer Science 117, 266-273, 2017
322017
Arsentd-lev: A multi-topic corpus for target-based sentiment analysis in arabic levantine tweets
R Baly, A Khaddaj, H Hajj, W El-Hajj, KB Shaban
arXiv preprint arXiv:1906.01830, 2019
262019
A survey of opinion mining in Arabic: a comprehensive system perspective covering challenges and advances in tools, resources, models, applications, and visualizations
G Badaro, R Baly, H Hajj, W El-Hajj, KB Shaban, N Habash, A Al-Sallab, ...
ACM Transactions on Asian and Low-Resource Language Information Processing …, 2019
252019
EMA at SemEval-2018 task 1: Emotion mining for Arabic
G Badaro, O El Jundi, A Khaddaj, A Maarouf, R Kain, H Hajj, W El-Hajj
Proceedings of The 12th International Workshop on Semantic Evaluation, 236-244, 2018
252018
Neural arabic question answering
H Mozannar, KE Hajal, E Maamary, H Hajj
arXiv preprint arXiv:1906.05394, 2019
242019
A light lexicon-based mobile application for sentiment mining of arabic tweets
G Badaro, R Baly, R Akel, L Fayad, J Khairallah, H Hajj, K Shaban, ...
Proceedings of the second workshop on arabic natural language processing, 18-25, 2015
242015
A survey of ground-truth in emotion data annotation
L Constantine, H Hajj
2012 IEEE International Conference on Pervasive Computing and Communications …, 2012
232012
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