| Named Entity Extraction for Knowledge Graphs: A Literature Overview T Al-Moslmi, M Gallofré Ocaña, AL Opdahl, C Veres IEEE Access, 2020 | 191 | 2020 |
| Approaches to cross-domain sentiment analysis: A systematic literature review T Al-Moslmi, N Omar, S Abdullah, M Albared Ieee access 5, 16173-16192, 2017 | 148 | 2017 |
| Arabic senti-lexicon: Constructing publicly available language resources for Arabic sentiment analysis T Al-Moslmi, M Albared, A Al-Shabi, N Omar, S Abdullah Journal of information science 44 (3), 345-362, 2018 | 107 | 2018 |
| Ensemble of classification algorithms for subjectivity and sentiment analysis of Arabic customers' reviews N Omar, M Albared, AQ Al-Shabi, T Al-Moslmi International Journal of Advancements in Computing Technology 5 (14), 77, 2013 | 75 | 2013 |
| A comparative study of feature selection and machine learning algorithms for Arabic sentiment classification N Omar, M Albared, T Al-Moslmi, A Al-Shabi Information Retrieval Technology: 10th Asia Information Retrieval Societies …, 2014 | 47 | 2014 |
| Semantic knowledge graphs for the news: A review AL Opdahl, T Al-Moslmi, DT Dang-Nguyen, M Gallofré Ocaña, B Tessem, ... ACM Computing Surveys 55 (7), 1-38, 2022 | 30 | 2022 |
| Cross-lingual sentiment classification from english to arabic using machine translation A Al-Shabi, A Adel, N Omar, T Al-Moslmi Int. J. Adv. Comput. Sci. Appl 8 (12), 434-440, 2017 | 26 | 2017 |
| Feature Selection Methods Effects on Machine Learning Approaches in Malay Sentiment Analysis T Al-Moslmi, S Gaber, A Al-Shabi, M Albared, N Omar The 1st ICRIL-International Conference on Innovation in Science and …, 2015 | 22 | 2015 |
| Data Privacy in Journalistic Knowledge Platforms ALO Marc Gallofré Ocaña, Tareq Al-Moslmi Proceedings of the CIKM, 2020 | 17* | 2020 |
| Recent progress of named entity recognition over the most popular datasets M Albared, M Gallofré Ocaña, A Ghareb, T Al-Moslmi International Conference of Intelligent Computing and Engineering (ICOICE 2019), 2019 | 13 | 2019 |
| Lifting news into a journalistic knowledge platform T Al-Moslmi, M Gallofré Ocaña CEUR-WS, 2020 | 10 | 2020 |
| Enhanced Malay sentiment analysis with an ensemble classification machine learning approach T Al-Moslmi, N Omar, M Albared, A Alshabi Journal of Engineering and Applied Sciences 12 (20), 5226-5232, 2017 | 10 | 2017 |
| Detecting newsworthy events in a journalistic platform T Al-Moslmi, M Gallofré Ocaña, AL Opdahl, B Tessem The 3rd European Data and Computational Journalism Conference, 2019 | 8 | 2019 |
| PROBABILISTIC ARABIC PART OF SPEECH TAGGER WITH UNKNOWN WORDS HANDLING FMBA Mohammed Albared, Tareq Al-Moslmi, Nazlia Omar, Adel Al-Shabi Journal of Theoretical and Applied Information Technology 90 (No.2), 236-246, 2016 | 6 | 2016 |
| Choosing the optimal segmentation level for POS tagging of the Quranic Arabic F Ba-Alwi, M Albared, T Al-Moslmi British Journal of Applied Science & Technology 19 (1), 1-10, 2017 | 5 | 2017 |
| Machine learning and lexicon-based approach for Arabic sentiment analysis T Al-Moslmi Universiti Kebangsaan Malaysia, 2014 | 4 | 2014 |
| Knowledge Graph Semantic Annotation and Population with Real-Time Events Data from GDELT MG Ocaña, T Al-Moslmi, AL Opdahl 2022 IEEE 24th Conference on Business Informatics (CBI) 2, 65-72, 2022 | 2 | 2022 |
| Bidirectional feature transfer for cross-domain sentiment analysis T Al-Moslmi, M Albared, A Al-Shabi, S Abdullah 2019 First International Conference of Intelligent Computing and Engineering …, 2019 | 2 | 2019 |
| A Comparative Study of Co-Occurrence Strategies for Building A Cross-Domain Sentiment Thesaurus AM Tareq, M Albared, A Al-Shabi, S Abdullah, N Omar International Conference of Intelligent Computing and Engineering (ICOICE 2019), 2019 | 1 | 2019 |
| Towards a Blockchain and Smart Contracts-Based Privacy Framework for Decentralized Data Processing MG Ocaña, AA Al-Wosabi, T Al-Moslmi Advances on Smart and Soft Computing: Proceedings of ICACIn 2020 1188, 431, 2020 | | 2020 |
Mohammed AlbaredAssistant professor , Trier University of Applied Sciences , Department of Computer Science在 hochschule-trier.de 的电子邮件经过验证
