| SpanEmo: Casting multi-label emotion classification as span-prediction H Alhuzali, S Ananiadou arXiv preprint arXiv:2101.10038, 2021 | 95 | 2021 |
| SpanEmo: Casting Multi-label Emotion Classification as Span-prediction H Alhuzali, S Ananiadou Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 95 | 2021 |
| You Tweet What You Speak: A City-Level Dataset of Arabic Dialects M Abdul-Mageed, H Alhuzali, M Elaraby Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 83 | 2018 |
| Cluster-level contrastive learning for emotion recognition in conversations K Yang, T Zhang, H Alhuzali, S Ananiadou IEEE Transactions on Affective Computing 14 (4), 3269-3280, 2023 | 50 | 2023 |
| Enabling Deep Learning of Emotion With First-Person Seed Expressions H Alhuzali, M Abdul-Mageed, L Ungar PEOPLES-Workshop co-located with NAACL HLT 2018, 25-35, 2018 | 36 | 2018 |
| Improving Classification of Adverse Drug Reactions through Using Sentiment Analysis and Transfer learning H Alhuzali, S Ananiadou BioNLP, 2019 | 30 | 2019 |
| DINA: a multi-dialect dataset for Arabic emotion analysis M Abdul-Mageed, H Alhuzali, MD Duaa’Abu Elhija The 2nd Workshop on Arabic Corpora and Processing Tools 2016 Theme: Social Media, 2016 | 29 | 2016 |
| Think before your click: Data and models for adult content in arabic twitter A Alshehri, HA El Moatez Billah Nagoudi, M Abdul-Mageed TA-COS 2018: 2nd Workshop on Text Analytics for Cybersecurity and Online …, 2018 | 25 | 2018 |
| Emotions and topics expressed on Twitter during the COVID-19 pandemic in the United Kingdom: Comparative geolocation and text mining analysis H Alhuzali, T Zhang, S Ananiadou Journal of Medical Internet Research 24 (10), e40323, 2022 | 24 | 2022 |
| Improving Textual Emotion Recognition Based on Intra- and Inter-Class Variations H Alhuzali, S Ananiadou IEEE Transactions on Affective Computing, 2021 | 21 | 2021 |
| PHQ-aware depressive symptoms identification with similarity contrastive learning on social media T Zhang, K Yang, H Alhuzali, B Liu, S Ananiadou Information Processing and Management 60 (5), 2023 | 20 | 2023 |
| Predicting Sign of Depression via Using Frozen Pre-trained Models and Random Forest Classifier. H Alhuzali, T Zhang, S Ananiadou CLEF (Working Notes), 888-896, 2021 | 16 | 2021 |
| UBC-NLP at IEST 2018: Learning implicit emotion with an ensemble of language models H Alhuzali, M Elaraby, M Abdul-Mageed Proceedings of the 9th Workshop on Computational Approaches to Subjectivity …, 2018 | 6 | 2018 |
| Neural Networks for Textual Emotion Recognition and Analysis H Alhuzali University of Manchester, 2022 | 2 | 2022 |
| Evaluating the Effectiveness of the Foundational Models for Q&A Classification in Mental Health care H Alhuzali, A Alasmari arxiv, 2024 | 1 | 2024 |
| MentalQA: An Annotated Arabic Corpus for Questions and Answers of Mental Healthcare H Alhuzali, A Alasmari, H Alsaleh https://arxiv.org/abs/2405.12619, 2024 | 1 | 2024 |
| A Comparative Study of Using Pre-trained Language Models for Mental Healthcare Q&A Classification in Arabic A Alasmari, H Alhuzali Eighth Widening NLP Workshop (WiNLP 2024)-colocated with EMNLP2024, 2024 | | 2024 |
| MentalQA: An Annotated Arabic Corpus for Questions and Answers of Mental Healthcare H Alhuzali, A Alasmari, H Alsaleh IEEE ACCESS 12, 101155-101165, 2024 | | 2024 |
| Investigating Persuasion Techniques in Arabic: An Empirical Study Leveraging Large Language Models A Alzahrani, E Babkier, F Yanbaawi, F Yanbaawi, H Alhuzali https://arxiv.org/abs/2405.12884, 2024 | | 2024 |
| A comparative geolocation and text mining analysis of emotions and topics during the COVID-19 Pandemic in the UK H Alhuzali, T Zhang, S Ananiadou Journal of Medical Internet Research, 2022 | | 2022 |
Sophia AnaniadouProfessor, Computer Science, Manchester University, National Centre for Text MiningE-mail megerősítve itt: manchester.ac.uk
