Dr Viktor Pekar

Operations and Information Management

Viktor Pekar

  Position: Teaching Fellow                                                                                                          Phone Number: 01212043488                                                                                                  Email Address: v.pekar@aston.ac.uk                                                                                        Room Number: ABS 264

Dr. Viktor Pekar is a Teaching Fellow at the Aston Business School, teaching and supervising student research projects on Business Analytics and related subjects. He holds a PhD in Computational Linguistics, and previously worked as a post-doctoral researcher and a teaching fellow at the universities of Karlsruhe, Wolverhampton, and Birmingham, specialising in Artificial Intelligence, Machine Learning, Natural Language Processing, and Computational Social Science. He has over 40 publications at major conferences and journals on AI and NLP, and regularly acts as a journal reviewer and programme committee member in these fields. He has five-years' experience working in AI and NLP/text analytics in industry: as a Language Engineer at Oxford University Press, as a Chief NLP Engineer at two start-up companies, Market Sentinel and Knowsys.


  • Post-graduate certificate in Higher Education (Aston University, 2019)
  • Doctor of Philosophy (Bashkir State University, 2000)
  • Master of Arts (Bashkir State University, 1997)
  • Sep 2018 - present: Teaching Fellow, Business School, Aston University
  • Nov 2015 - Sep 2018: Research and Teaching Fellow, Business School, University of Birmingham
  • Nov 2013 - Nov 2015: Research Fellow, School of Computer Science, University of Birmingham
  • Sep 2012 - Nov 2013: Chief NLP Engineer, Knowsys Ltd, London
  • Nov 2010 - Sep 2012: Chief NLP Engineer, Market Sentinel, London
  • Jul 2008 - Nov 2010: Language Engineer. Oxford University Press, Oxford

Undergraduate modules:

  • Introduction to Business Analytics
  • Software for Business Analytics
  • Virtual Business Simulation
  • Professional Development

Post-graduate modules:

  • Software for Business Analytics
  • Dissertation
  • Computational Social Sciences
  • Machine Learning
  • Data Science
  • Natural Language Processing
  • Social media analysis

Viktor is interested in supervising post-graduate students in the following research topics:

  • Computational models of consumer behaviour
  • Investor sentiment analysis
  • Disaster management Models of political polls outcomes
  • Social media analysis
Association for Computational Linguistics
  • Pekar V., Binner J., Najafi H., Schmidt V., Hale C. (2019). Early Detection of Heterogeneous Disaster Events Using Social Media. Journal of the Association for Information Science and Technology.
  • Pekar V. (2018). Mining Signals of Consumer Expenditure on Twitter and Google Trends. In Proceedings of 2nd International Conference on Advanced Research Methods and Analytics (Internet and Big Data in Economics and Social Sciences). Valencia, Spain.
  • Pekar V. and Binner J. (2017). Forecasting Consumer Spending from Purchase Intentions Expressed on Social Media. In Proceedings of ENMLP-2017 Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis. Copenhagen, Denmark.
  • Pekar V., Binner J., Najafi H. (2016). Detecting Mass Emergency Events on Social Media: One Classification Problem or Many? In Proceedings of the International Conference on Data Mining.
  • Las Vegas, NV. Pekar V. (2008). Discovery of Event Entailment Knowledge from Text Corpora. Computer, Language and Speech. 22, 1-16. Pekar V. and Ou S. (2008). Automated Analysis of Subjective Evaluations of Product Features in Hotel Reviews. Journal of Vacation Marketing.

Predicting Consumer Spending from Social Media, Bank of England Conference on Financial Services Indices, Liquidity and Economic Activity, London, UK, May 2017.

Detecting Crisis-Related Messages in Social Media. Annual Centre for Crime, Justice and Policing Conference. University of Birmingham, UK. July 2018.

Design Considerations for a SaaS System for Text Analytics of Customer Feedback (with Mark Rogers). 

The ASC One Day Conference Series.

The Association for Survey Computing, London, UK. November 2018.