| Classifying sentiment in arabic social networks: Naive search versus naive bayes MM Itani, RN Zantout, L Hamandi, I Elkabani 2012 2nd International Conference on Advances in Computational Tools for …, 2012 | 52 | 2012 |
| Developing resources for sentiment analysis of informal Arabic text in social media M Itani, C Roast, S Al-Khayatt Procedia Computer Science 117, 129-136, 2017 | 33 | 2017 |
| Corpora for sentiment analysis of Arabic text in social media M Itani, C Roast, S Al-Khayatt 2017 8th international conference on information and communication systems …, 2017 | 31 | 2017 |
| Analyzing the effect of negation in sentiment polarity of facebook dialectal arabic text S Kaddoura, M Itani, C Roast Applied Sciences 11 (11), 4768, 2021 | 18 | 2021 |
| The impact of the Covid-19 pandemic on on-line examination: challenges and opportunities M Itani, M Itani, S Kaddoura, F Al Husseiny Global Journal of Engineering Education 24 (2), 105-120, 2022 | 17 | 2022 |
| Sentiment analysis and resources for informal Arabic text on social media M Itani Sheffield Hallam University, 2018 | 11 | 2018 |
| Arabic spam tweets classification using deep learning S Kaddoura, SA Alex, M Itani, S Henno, A AlNashash, DJ Hemanth Neural Computing and Applications 35 (23), 17233-17246, 2023 | 7 | 2023 |
| Corpus of Arabic social media posts manually classed for sentiment analysis M Itani SHU Research Data Archive (SHURDA), 2017 | 2 | 2017 |
| The necessity of external examination for university admissions in the United States and the United Kingdom CR Malakeh Itani, Maher Itani World Transactions on Engineering and Technology Education 21 (2), 134-139, 2023 | | 2023 |
chris roastSheffield Hallam UniversityVerified email at shu.ac.uk
