Research Activities

Publications
  1. May El Barachi, Manar AlKhatib, Sujith Mathew, and Farhad Oroumchian. “A novel sentiment analysis framework for monitoring the evolving public opinion in real-time: Case study on climate change.” Journal of Cleaner Production (2021): 127820.
  2. Sujith Samuel Mathew, Manar AlKhatib, and May El Barachi. “A Deep Learning Approach for Real-Time Analysis of Attendees’ Engagement in Public Events.” Journal of Communications Software and Systems 17, no. 2 (2021): 106.
  3. Manar Alkhatib,May El Barachi, Sujith Samuel Mathew, and Farhad Oroumchian, “A Deep Learning Approach for Real-Time Analysis of Attendees’ Engagement in Public Events”, accepted in Advances in Science, Technology and Engineering Systems Journal (ASTESJ)(2021).
  4. Manar Alkhatib, and Khaled Shaalan. “Deep Learning for Arabic Error Detection and Correction”, ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) (2020).
  5. Manar AlKhatib, Abolfazl AleAhmad, May El Barachi, Farhad Oroumchian, and Khaled ShaalanAlKhatib, “A sentiment reporting framework for major city events: Case study on the China-United States trade war.” Journal of Cleaner Production (2020): 121426.
  6. Manar Alkhatib, May El Barachi, and Khaled Shaalan. “An Arabic social media based framework for incidents and events monitoring in smart cities.” Journal of Cleaner Production 220 (2019): 771-785.
  7. May El Barachi, Manar AlKhatib, and Sujith Mathew , “A Hybrid Machine Learning Approach for Sentiment Analysis of Partially Occluded Faces”, accepted in IEEE ICAICA 2021
  8. Abdul Munem Nerabie, Manar Alkhatib, Sujith Samuel Mathew, May El Barachi and Farhad Oroumchian, “The Impact of Arabic Part of Speech Tagging on Sentiment Analysis: A New Corpus and Deep Learning Approach”, The 12th International
    Conference on Ambient Systems, Networks and Technologies (ANT-2021).
  9. Manar Alkhatib,May El Barachi, Sujith Samuel Mathew, and Farhad Oroumchian. “Using Artificial Intelligence to Monitor the Evolution of Opinion Leaders’ Sentiments: Case Study on Global Warming.” In 2020 5th International Conference on Smart and Sustainable Technologies (SpliTech), pp. 1-6. IEEE, 2020.
  10. Elabora, Abdallah, Manar Alkhatib, Sujith Samuel Mathew, and May El Barachi. “Evaluating Citizens’ Sentiments in Smart Cities: A Deep Learning Approach.” In 2020 5th International Conference on Smart and Sustainable Technologies (SpliTech), pp. 1-5. IEEE, 2020.
  11. Manar Alkhatibl, and Khaled , 2020, “Boosting Arabic Named Entity Recognition transliteration with Deep Learning”, In The Thirty-Third International Flairs Conference. 2020. (FLAIRS-33).
  12. Manar Alkhatib, May El Barachi, Abolfazl AleAhmad, Farhad Oroumchian, and Khaled Shaalan. “Analysing the sentiments of opinion leaders in relation to smart cities’ major events.” 2019 4th International Conference on Smart and Sustainable Technologies (SpliTech). IEEE, 2019.
  13. Manar Alkhatib and Khaled Shaalan. “Paraphrasing Arabic Metaphor with Neural Machine Translation.” Procedia Computer Science 142 (2018): 308-314.
  14. Manar Alkhatib, May El Barachi, and Khaled “Using Arabic Social Media Feeds for Incident and Emergency Management in Smart Cities.” 2018 3rd International Conference on Smart and Sustainable Technologies (SpliTech). IEEE, 2018.
  15. Manar Alkhatiba, Azza Abdel Monemb, Khaled Shaalan. “A Rich Arabic WordNet Resource for Al-Hadith Al-Shareef”. 3rd International Conference on Arabic Computational Linguistics, ACLing 2017, Procedia Computer Science. 2017
  16. Alkhatib, Manar, and Khaled Shaalan. “The Key Challenges for Arabic Machine Translation”, INTELLIGENTNATURAL LANGUAGE PROCESSING: TRENDS AND APPLICATIONS, 978-3-319-67055-3, 441116_1_En (8). Springer International Publishing,
  17. Khaled Shaalan, Sanjeera Siddiqui, Manar Alkhatib, Azza Abdel Monem “Challenges in Arabic Natural Language Processing”. Series on Language Processing, Pattern Recognition, and Intelligent Systems. Springer International Publishing,2017.
  18. Alkhatib, Manar, and Khaled Shaalan. “Natural Language Processing for Arabic Metaphors: A Conceptual Approach.” International Conference on Advanced Intelligent Systems and Informatics. Springer International Publishing,
  19. Alkhatib, M. “Classification of Al-Hadith Al-Shareef using data mining algorithm. “Proceedings of the European Mediterranean and Middle Eastern Conference on Information Systems (EMCIS 2010).
  20. Meligy, Ali, and Manar Al-Khatib. “A grid-based distributed svm data mining ” European Journal of Scientific Research 27.3 (2009): 313-321

 

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