Dr Phillip Smith PhD

School of Computer Science
Lecturer (Teaching Focused)

Contact details

Email
p.smith.7@cs.bham.ac.uk
View my research portal
Address
School of Computer Science
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Phillip Smith is a lecturer and careers tutor in the School of Computer Science at the University of Birmingham.

Phillip is interested in natural language processing, in particular, sentiment analysis. Phillip is investigating how discourse function affects supervised machine learning classifiers trained to tackle this problem.

Please follow the link below to find out more about Phillip's work:

Dr Phillip Smith - personal webpage

Qualifications

  • PhD, Computer Science 2017

  • AFHEA, 2016

  • BSc Computer Science (1st Class) 2009

Biography

Phil Smith qualified with a BSc in Computer Science from the University of Birmingham. He went on to work as a software engineer before returning to Birmingham for a PhD investigating the development of machine learning algorithms for sentiment analysis in the clinical domain. He was awarded his PhD in 2017 and is now a lecturer in the department.

Teaching

2018-19 (Birmingham)

  • Professional Computing (Level 2/I, UG, Autumn)

  • Artificial Intelligence (Level 1/C, UG, Spring)

  • MSc Operating Systems and Networks (Level 4/M C, PG, Spring)

2017-2018 (Birmingham)

  • Professional Computing (Level 2/I, UG, Autumn)

  • Robot Programming (Level 1/C, UG, Spring)

  • MSc Operating Systems and Networks (Level 4/M C, PG, Spring)

2016-2017 (Birmingham)

  • MSc Operating Systems and Networks (Level 4/M C, PG, Spring)

  • Mobile and Ubiquitous Computing (Extended) (Level 4/M, PG, Spring)

Other activities

I am a careers tutor and an A2B lead tutor for the School of Computer Science. I have also carried out consultancy work for Birmingham City Council on the issue of public health.

Publications

Recent publications

Chapter (peer-reviewed)

Smith, P & Lee, M 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 2012 Workshop. Association of Computational Linguistics, pp. 79-83. <http://aclweb.org/anthology//W/W12/W12-3712.pdf>

Conference contribution

Alduayj, SS & Smith, P 2019, Sentiment Classification and Prediction of Job Interview Performance. in 2nd International Conference on Computer Applications and Information Security, ICCAIS 2019., 8769559, 2nd International Conference on Computer Applications and Information Security, ICCAIS 2019, Institute of Electrical and Electronics Engineers (IEEE), 2nd International Conference on Computer Applications and Information Security, ICCAIS 2019, Riyadh, Saudi Arabia, 1/05/19. https://doi.org/10.1109/CAIS.2019.8769559

Smith, P & Lee, M 2014, Acknowledging discourse function for sentiment analysis. in A Gelbukh (ed.), Computational Linguistics and Intelligent Text Processing : 15th International Conference, CICLing 2014, Kathmandu, Nepal, April 6-12, 2014, Proceedings, Part II. vol. 8404 LNCS, Lecture Notes in Computer Science , vol. 8404, Springer, pp. 45-52, Computational Linguistics and Intelligent Text Processing, 15th International Conference, CICLing 2014, Kathmandu, Nepal, Nepal, 6/04/14. https://doi.org/10.1007/978-3-642-54903-8-4

Smith, P & Lee, M 2013, A CCG-based approach to fine-grained sentiment analysis in microtext. in Analyzing Microtext - Papers from the AAAI Spring Symposium, Technical Report. vol. SS-13-01, pp. 80-86, 2013 AAAI Spring Symposium, Palo Alto, CA, United States, 25/03/13.

Smith, P & Lee, M 2012, A CCG-Based Approach to Fine-Grained Sentiment Analysis. in Proceedings of the 2nd Workshop on Sentiment Analysis where AI meets Psychology , SAAIP 2012.: COLING 2012 Workshop. Association of Computational Linguistics, pp. 3-16. <http://www.aclweb.org/anthology/W12-5302.pdf>

View all publications in research portal