| Cross-discourse Development of Supervised Sentiment Analysis in the Clinical Domain P Smith, M Lee WASSA 2012, 79, 2012 | 25 | 2012 |
| Arabic emoji sentiment lexicon (Arab-ESL): A comparison between Arabic and European emoji sentiment lexicons SAA Hakami, RJ Hendley, P Smith Proceedings of the Sixth Arabic Natural Language Processing Workshop, 60-71, 2021 | 13 | 2021 |
| Enhancing contextualised language models with static character and word embeddings for emotional intensity and sentiment strength detection in arabic tweets AI Alharbi, P Smith, M Lee Procedia Computer Science 189, 258-265, 2021 | 13 | 2021 |
| Extractive financial narrative summarisation using sentencebert based clustering T Gokhan, P Smith, M Lee Proceedings of the 3rd Financial Narrative Processing Workshop, 94-98, 2021 | 9 | 2021 |
| Can vectors read minds better than experts? Comparing data augmentation strategies for the automated scoring of children’s mindreading ability RD Venelin Kovatchev, Phillip Smith, Mark Lee Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 9* | 2021 |
| "What is on your mind?" Automated Scoring of Mindreading in Childhood and Early Adolescence V Kovatchev, P Smith, M Lee, IG Traynor, IL Aguilera, RT Devine Proceedings of the 28th International Conference on Computational Linguistics, 2020 | 8 | 2020 |
| Sentiment classification and prediction of job interview performance SS Alduayj, P Smith 2019 2nd international conference on computer applications & information …, 2019 | 8 | 2019 |
| A CCG-Based Approach to Fine-Grained Sentiment Analysis in Microtext. P Smith, MG Lee AAAI Spring Symposium: Analyzing Microtext 13, 01, 2013 | 7 | 2013 |
| Sentiment analysis: beyond polarity P Smith, M Lee, J Barnden, P Hancox Thesis Proposal, School of Computer Science, University of Birmingham, UK, 2011 | 7 | 2011 |
| Machine learning and deep learning systems for automated measurement of “advanced” theory of mind: Reliability and validity in children and adolescents. RT Devine, V Kovatchev, I Grumley Traynor, P Smith, M Lee Psychological Assessment 35 (2), 165, 2023 | 6 | 2023 |
| Emoji as sentiment indicators: An investigative case study in arabic text SAA Hakami, R Hendley, P Smith The Sixth International Conference on Human and Social Analytics, 26-32, 2020 | 6 | 2020 |
| Sentiment Analysis of Patient Feedback P Smith University of Birmingham, 2017 | 6 | 2017 |
| The discourse of civil American society: a new proposal for cultural studies J Alexander, P SMITH Theory and society 22 (2), 1993 | 6 | 1993 |
| Emoji sentiment roles for sentiment analysis: A case study in arabic texts SAA Hakami, RJ Hendley, P Smith Proceedings of the Seventh Arabic Natural Language Processing Workshop …, 2022 | 5 | 2022 |
| Acknowledging discourse function for sentiment analysis P Smith, M Lee Computational Linguistics and Intelligent Text Processing: 15th …, 2014 | 5 | 2014 |
| A context-free Arabic emoji sentiment lexicon (CF-Arab-ESL) SAA Hakami, RJ Hendley, P Smith Proceedinsg of the 5th Workshop on Open-Source Arabic Corpora and Processing …, 2022 | 4 | 2022 |
| Gender impact on emoji sentiment analysis among Arabic users in digital networks SAA Hakami, R Hendley, P Smith 2022 14th International Conference on Computational Intelligence and …, 2022 | 3 | 2022 |
| GUSUM: graph-based unsupervised summarization using sentence features scoring and sentence-BERT T Gokhan, P Smith, M Lee Proceedings of TextGraphs-16: graph-based methods for natural language …, 2022 | 3 | 2022 |
| Integrating character-level and word-level representation for affect in Arabic tweets AI Alharbi, P Smith, M Lee Data & Knowledge Engineering 138, 101973, 2022 | 2 | 2022 |
| ArSarcasMoji Dataset: The Emoji Sentiment Roles in Arabic Ironic Contexts SAA Hakami, RJ Hendley, P Smith Proceedings of ArabicNLP 2023, 208-217, 2023 | 1 | 2023 |
Mark LeeUniversity of Birmingham在 cs.bham.ac.uk 的电子邮件经过验证
