Mohammad AL-Smadi
Cited by
Cited by
Semeval-2016 task 5: Aspect based sentiment analysis
M Pontiki, D Galanis, H Papageorgiou, I Androutsopoulos, S Manandhar, ...
Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016
Deep Recurrent Neural Network vs. Support Vector Machine for Aspect-Based Sentiment Analysis of Arabic Hotels’ Reviews
M AL-Smadi, O Qawasmeh, M Al-Ayyoub, Y Jararweh, B Gupta
Journal of Computational Science, 2017
Using long short-term memory deep neural networks for aspect-based sentiment analysis of Arabic reviews
M Al-Smadi, B Talafha, M Al-Ayyoub, Y Jararweh
International Journal of Machine Learning and Cybernetics 10 (8), 2163-2175, 2019
Enhancing aspect-based sentiment analysis of Arabic hotels’ reviews using morphological, syntactic and semantic features
M Al-Smadi, M Al-Ayyoub, Y Jararweh, O Qawasmeh
Information Processing & Management 56 (2), 308-319, 2019
Human Annotated Arabic Dataset of Book Reviews for Aspect Based Sentiment Analysis
M Al-Smadi, O Qawasmeh, B Talafha, M Quwaider
Future Internet of Things and Cloud (FiCloud), 2015 3rd International …, 2015
Paraphrase identification and semantic text similarity analysis in Arabic news tweets using lexical, syntactic, and semantic features
M AL-Smadi, Z Jaradat, M AL-Ayyoub, Y Jararweh
Information Processing & Management 53 (3), 640-652, 2017
Scaling informal learning at the workplace: A model and four designs from a large‐scale design‐based research effort
T Ley, J Cook, S Dennerlein, M Kravcik, C Kunzmann, K Pata, J Purma, ...
British Journal of Educational Technology 45 (6), 1036-1048, 2014
Enhancing the determination of aspect categories and their polarities in Arabic reviews using lexicon-based approaches
I Obaidat, R Mohawesh, M Al-Ayyoub, M AL-Smadi, Y Jararweh
Applied Electrical Engineering and Computing Technologies (AEECT), 2015 IEEE …, 2015
Enhancing Arabic aspect-based sentiment analysis using deep learning models
S Al-Dabet, S Tedmori, M AL-Smadi
Computer Speech & Language 69, 101224, 2021
An Enhanced Framework for Aspect-Based Sentiment Analysis of Hotels’ Reviews: Arabic Reviews Case Study
M AL-Smadi, O Qwasmeh, B Talafha, M Al-Ayyoub, Y Jararweh, ...
11th International Conference for Internet Technology and Secured …, 2017
Cooperative mobile edge computing system for VANET-based software-defined content delivery
J Al-Badarneh, Y Jararweh, M Al-Ayyoub, R Fontes, M Al-Smadi, ...
Computers & Electrical Engineering 71, 388-397, 2018
Towards a standardized e-assessment system: Motivations, challenges and first findings
M AL-Smadi, C Guetl, D Helic
International Journal of Emerging Technologies in Learning (iJET) 4 (6), 6-12, 2009
Transfer Learning for Arabic Named Entity Recognition With Deep Neural Networks
M Al-Smadi, S Al-Zboon, Y Jararweh, P Juola
IEEE Access 8, 37736-37745, 2020
Detecting Epidemic Diseases Using Sentiment Analysis of Arabic Tweets
QB Baker, F Shatnawi, S Rawashdeh, M Al-Smadi, Y Jararweh
Journal of Universal Computer Science 26 (1), 50-70, 2020
Gameducation: using gamification techniques to engage learners in online learning
M AL-Smadi
European Summit on Immersive Education, 85-97, 2014
An Aspect-Based Sentiment Analysis Approach to Evaluating Arabic News Affect on Readers.
M Al-Smadi, M Al-Ayyoub, H Al-Sarhan, Y Jararweh
J. UCS 22 (5), 630-649, 2016
Past, present and future of e-assessment: Towards a flexible e-assessment system
M AL-Smadi, C Gütl
Institute for Information Systems and New Media (IICM), TU-Graz, Austria, 2008
A transfer learning with deep neural network approach for diabetic retinopathy classification.
M Al-Smadi, M Hammad, QB Baker, SA Al-Zboon
International Journal of Electrical & Computer Engineering (2088-8708) 11 (4), 2021
Improving fuzzy C-mean-based community detection in social networks using dynamic parallelism
M Al-Ayyoub, M Al-andoli, Y Jararweh, M Smadi, B Gupta
Computers & Electrical Engineering 74, 533-546, 2019
Gated Recurrent Unit with Multilingual Universal Sentence Encoder for Arabic Aspect-Based Sentiment Analysis
M AL-Smadi, MM Hammad, A Sa’ad, ALT Saja, E Cambria
Knowledge-Based Systems 261 (107540), 2023
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