Ahmad Al Sallab


2017

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OMAM at SemEval-2017 Task 4: Evaluation of English State-of-the-Art Sentiment Analysis Models for Arabic and a New Topic-based Model
Ramy Baly | Gilbert Badaro | Ali Hamdi | Rawan Moukalled | Rita Aoun | Georges El-Khoury | Ahmad Al Sallab | Hazem Hajj | Nizar Habash | Khaled Shaban | Wassim El-Hajj
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)

While sentiment analysis in English has achieved significant progress, it remains a challenging task in Arabic given the rich morphology of the language. It becomes more challenging when applied to Twitter data that comes with additional sources of noise including dialects, misspellings, grammatical mistakes, code switching and the use of non-textual objects to express sentiments. This paper describes the “OMAM” systems that we developed as part of SemEval-2017 task 4. We evaluate English state-of-the-art methods on Arabic tweets for subtask A. As for the remaining subtasks, we introduce a topic-based approach that accounts for topic specificities by predicting topics or domains of upcoming tweets, and then using this information to predict their sentiment. Results indicate that applying the English state-of-the-art method to Arabic has achieved solid results without significant enhancements. Furthermore, the topic-based method ranked 1st in subtasks C and E, and 2nd in subtask D.

2016

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RDI_Team at SemEval-2016 Task 3: RDI Unsupervised Framework for Text Ranking
Ahmed Magooda | Amr Gomaa | Ashraf Mahgoub | Hany Ahmed | Mohsen Rashwan | Hazem Raafat | Eslam Kamal | Ahmad Al Sallab
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)

2015

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Deep Learning Models for Sentiment Analysis in Arabic
Ahmad Al Sallab | Hazem Hajj | Gilbert Badaro | Ramy Baly | Wassim El Hajj | Khaled Bashir Shaban
Proceedings of the Second Workshop on Arabic Natural Language Processing

2014

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Automatic Arabic diacritics restoration based on deep nets
Ahmad Al Sallab | Mohsen Rashwan | Hazem M. Raafat | Ahmed Rafea
Proceedings of the EMNLP 2014 Workshop on Arabic Natural Language Processing (ANLP)