Hassan

Hassan

Assistant Professor at Umm Al-Qura University, working on natural language processing and emotion detection.

Publications (Google Scholar Profile)

  • Zhang, T., Yang, K., Alhuzali, H., Liu, B., & Ananiadou, S. (2023). PHQ-aware depressive symptoms identification with similarity contrastive learning on social media. Information Processing & Management, 60(5), 103417. [PDF]

  • Yang, K., Zhang, T., Alhuzali, H., Ananiadou, S. (2023). “Cluster-Level Contrastive Learning for Emotion Recognition in Conversations”. IEEE Transactions on Affective Computing (In Press). [PDF] [Codes]

  • Alhuzali, H., Zhang, T., & Ananiadou, S. (2022). Emotions and Topics Expressed on Twitter During the COVID-19 Pandemic in the United Kingdom: Comparative Geolocation and Text Mining Analysis. Journal of medical Internet research, 24(10), e40323. [PDF]

  • Alhuzali, H. (2022). Neural Networks for Textual Emotion Recognition and Analysis (Doctoral thesis). University of Manchester. United Kingdom. [PDF]

  • Alhuzali, H., & Ananiadou, S. (2021). Improving Textual Emotion Recognition Based on Intra- and Inter-Class Variation. IEEE Transactions on Affective Computing. [PDF]

  • Alhuzali, H., Zhang, T & Ananiadou, S. (2021). Predicting Sign of Depression via Using Frozen Pre-trained Models and Random Forest Classifier. In CLEF-2021. [PDF]

  • Alhuzali, H., & Ananiadou, S. (2021). SpanEmo: Casting Multi-label Emotion Classification as Span-prediction. In Proceedings of the 16th conference of the European Chapter of the Association for Computational Linguistics (EACL-2021). [PDF] [Codes] [POSTER]

  • Alhuzali, H., & Ananiadou, S. (2019, August). Improving classification of Adverse Drug Reactions through Using Sentiment Analysis and Transfer Learning. In Proceedings of the 18th BioNLP Workshop and Shared Task (pp. 339-347). [PDF]

  • Alhuzali, H., Elaraby, M., & Abdul-Mageed, M. (2018). UBC-NLP at IEST 2018: Learning Implicit Emotion With an Ensemble of Language Models. Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (WASSA), co-located with EMNLP2018, Brussels, Belgium. [PDF]

  • AlHuzali, H., Abdul-Mageed, M., & Ungar, L. (2018). Enabling Deep Learning of Emotion With First-Person Seed Expressions. The 2nd Workshop on Computational Modeling of People’s emotion in Social Media (PEOPLES), co-located with (NAACL-HLT2018), New Orleans, Louisiana. [PDF] [Dataset][Codes]

  • Abdul-Mageed, M. *, Alhuzali, H. *, and Elaraby, M. (2018). You Tweet What You Speak: A City-Level Dataset for Arabic Dialects. In LREC2018.[PDF] [Twitter_Embedding_Model] [codes]

  • Abdul-Mageed, M., AlHuzali, H., AbulHaija’, D. & Diab, M. (2016). DINA: A multi-dialect dataset for Arabic emotion analysis. The 2nd Workshop on Arabic Corpora and Processing Tools (OSACT2), held in conjunction with The 10th International Conference on Language Resources and Evaluation (LREC2016), May 23-28, Portoroz, Slovenia. [PDF]