Dr. Phillip Smith

Research Projects

2020-21: I was a co-investigator on a interdisciplinary project between Psychology and Computer Science with Rory Devine, Venelin Kovatchev and Mark Lee, on the topic of Mindreading, Psychopathological and Social Adjustment in Middle Childhood.

Current PhD Students

I co-supervise the following students:

  • Katie Mae Potts: Applications of Virtual Reality to Support Mental Health
  • Rizwan Idrees: NLP for Data Mining
  • Shareefa Al Amer: Multilingual Event Extraction from Social Media Data
  • Ohoud Alzahrani: Behaviour Prediction on Social Media.
  • Maria Leggatt: Aspect-Level Sentiment Analysis.
  • Wei Li: Few Shot Learning for Natural Language Processing.

    Previous PhD Students

  • Dr. Abdullah Alharbi (2023): Enhancing Word Representations for Emotional Intensity and Offensive Language Detection in Arabic Microblog Text
  • Dr. Tuba Gokhan (2023): Graph-based Extractive Summarization of Long Documents - now a Post Doc at Mohamed bin Zayed University of Artificial Intelligence, UAE.
  • Dr. Alaa Alharbi (2023): Crisis Detection from Arabic Social Media
  • Dr. Shatha Hakami (2024): Exploring Emoji Sentiment Roles in Arabic Textual Content on Digital Social Networks
  • Dr. Ghadi Alnafesah (2024): Deep Learning for Metaphor Classification

    Publications

    Nidhi Priyadarshini & Phillip Smith (2025) "The Impact of COVID-19 on Cardiovascular Disease: A Machine Learning Predictive Study" in World Journal of Cardiovascular Diseases, 15(2), pp.19-47.

    Mubashir Ali, Anees Baqir, Hafiz Husnain Raza Sherazi, Shehzad Khalid, Phillip Smith & Mark Lee (2024) "An Extended Pattern Based Comprehensive Stemmer for the Urdu Language" in ACM Transactions on Asian and Low-Resource Language Information Processing, Volume 23, Issue 12, pp. 1-18.

    Shareefa Ahmed Al Amer, Mark G. Lee & Phillip Smith (2024) "Adopting Ensemble Learning for Cross-lingual Classification of Crisis-related Text On Social Media" in Proceedings of LoResMT2024 at ACL 2024.

    Katie Potts, Mohammed Bahja, & Phillip Smith (2023) "Exploring the Potential of Virtual Reality Sensory Rooms" in Proceedings of the MuM'23 Workshops on Making a Real Connection and Interruptions and Attention Management (MuM-WS 2023).

    Shatha Ali A Hakami, Robert Hendley & Phillip Smith (2023) "ArSarcasMoji Dataset: The Emoji Sentiment Roles in Arabic Ironic Contexts" in Proceedings of the First Conference on Arabic Natural Language Processing (ArabicNLP 2023), pp. 208-217.

    Ghadi Alnafesah, Phillip Smith & Mark Lee (2023) "Are you not moved? Incorporating Sensorimotor Knowledge to Improve Metaphor Detection" in Proceedings of the Recent Advances in Natural Language Processing (RANLP 2023), pp 80-89.

    Shareefa Al Amer, Mark Lee & Phillip Smith (2023) "Cross-lingual Classification of Crisis-related Tweets Using Machine Translation" Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2023), pp 22-31.

    Winner of Best Paper Award: Tuba Gokhan, Phillip Smith & Mark Lee (2023) “Node-weighted Centrality Ranking for Unsupervised Long Document Summarization” in Natural Language and Information Processing Systems, NLDB 2023, Lecture Notes in Computer Science, vol 13913, pp. 299-312.

    Rory T. Devine, Venelin Kovatchev, Imogen Grumley Traynor, Phillip Smith & Mark Lee (2023) "Machine learning and deep learning systems for automated measurement of “advanced” theory of mind: Reliability and validity in children and adolescents." in Psychological Assessment, 35(2), American Psychological Association, pp.165-177.

    Shatha Ali A. Hakami, Robert Hendley & Phillip Smith (2022) "Gender Impact on Emoji Sentiment Analysis Among Arabic Users in Digital Networks" in the Proceedings of the 14th International Conference on Computational Intelligence and Communication Networks (CICN), IEEE, pp 199-203.

    Shatha Ali A. Hakami, Robert Hendley & Phillip Smith (2022) "A Context-free Arabic Emoji Sentiment Lexicon (CF-Arab-ESL)" in Proceedings of the OSACT 2022 Workshop @LREC2022, pp.51-59.

    Abdullah I. Alharbi, Phillip Smith & Mark Lee (2022) "Integrating character-level and word-level representation for affect in Arabic tweets", Data & Knowledge Engineering, Elsevier.

    Tuba Gokhan, Phillip Smith & Mark Lee (2021) "Extractive Financial Narrative Summarisation using SentenceBERT Based Clustering" in Proceedings of the 3rd Financial Narrative Processing Workshop, ACL, pp.94-98.

    Venelin Kovatchev, Phillip Smith, Mark Lee & Rory Devine (2021) "Can vectors read minds better than experts? Comparing data augmentation strategies for the automated scoring of children’s mindreading ability", in Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), ACL, pp. 1196-1206.

    Abdullah I. Alharbi, Phillip Smith & Mark Lee (2021) "Enhancing Contextualised Language Models with Static Character and Word Embeddings for Emotional Intensity and Sentiment Strength Detection in Arabic Tweets" in Procedia Computer Science Vol. 189, Elsevier, pp.258-265.

    Shatha Ali A. Hakami, Robert Hendley & Phillip Smith (2021) "Arabic Emoji Sentiment Lexicon (Arab-ESL): A Comparison between Arabic and European Emoji Sentiment Lexicons", in Proceedings of the Sixth Arabic Natural Language Processing Workshop (WANLP), EACL, pp. 60-71.

    Venelin Kovatchev, Phillip Smith, Mark Lee, Imogen Grumley Traynor, Irene Luque Aguilera & Rory Devine (2020) "“What is on your mind?” Automated Scoring of Mindreading in Childhood and Early Adolescence", in Proceedings of the 28th International Conference on Computational Linguistics, COLING, pp 6217-6228.

    Shatha Ali A. Hakami, Robert Hendley & Phillip Smith (2020) "Emoji as Sentiment Indicators: An Investigative Case Study in Arabic Text", in Proceedings of the Sixth International Conference on Human and Social Analytics, IARIA, pp 26-32.

    Sarah S. Alduayj & Phillip Smith (2019) "Sentiment Classification and Prediction of Job Interview Performance", in Proceedings of the 2nd International Conference on Computer Applications and Information Security (ICCAIS 2019). IEEE, pp. 1-6.

    Phillip Smith & Mark Lee (2015) "Sentiment Classification via a Response Recalibration Framework", in Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA), EMNLP.

    Phillip Smith & Mark Lee (2014) "Acknowledging Discourse Function for Sentiment Analysis", in Proceedings of the 15th Conference on Intelligent Text Processing and Computational Linguistics (CICLing), Lecture Notes in Computer Science, Springer, pp 45-53.

    Phillip Smith & Mark Lee (2013) "Fine-Grained Sentiment Analysis in Microtext", American Association for Artificial Intelligence (AAAI) Spring Symposium on Analyzing Microtext 2013, pp 80-86.

    Phillip Smith & Mark Lee (2012) "Cross-discourse Development of Supervised Sentiment Analysis in the Clinical Domain", in Proceedings of the 3rd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis, ACL, pp 79-83.

    Phillip Smith & Mark Lee (2012) "A CCG-Based Approach to Fine-Grained Sentiment Analysis", in Proceedings of the 2nd Workshop on Sentiment Analysis where AI meets Psychology, COLING 2012, pp 3-16.

    Thesis

    Phillip Smith (2017). Sentiment analysis of patient feedback. University of Birmingham. Ph.D.

    © Phillip Smith