Call for papers

Together with Özlem Uzuner and Li Zhou, I will be guest editing a special issue on Emerging Clinical Applications of Text Analytics. The special issue will be published by the International Journal of Medical Informatics, one of the most esteemed journals in medical informatics. I hope you will be considering a submission and share the news with your networks. Many thanks! Submission deadline: September 17, 2018


  • Text mining: information extraction, term recognition, named entity recognition, sentiment analysis, text classification, information retrieval, language resources
  • Knowledge representation: development, application & standardisation of ontologies
  • Machine learning: feature engineering, case-based reasoning, naive Bayesian learning, support vector machines, genetic algorithms, genetic programming
  • Information management: data modelling, data mining, relational and XML databases, user interface development
  • Application areas: healthcare, life sciences, social sciences & social media


  • CMT207: Information modelling and database systems (postgraduate)
  • NOTE: All course resources are available through Learning Central.


  • Daphné Chopard (MSc, funded by the Swiss-European Mobility programme, 2018): text mining, deep learning
  • Anastazia Žunić (PhD, funded by the VC's International Scholarship, 2017-present): sentiment analysis, deep learning
  • Vignesh Muralidaran (PhD, funded by CorCenCC, 2017-present): natural language processing, corpus linguistics
  • Dr Steven Neale (PDRA, 2016-present): natural language processing, corpus linguistics, crowdsourcing
  • David Owen (RA/PhD, 2016-present): text mining, ontologies, health informatics
  • David Rogers (RA/PhD, 2012-present): text mining, sentiment analysis, social media


  • Dr Lowri Williams (PhD, funded by EPSRC Doctoral Training Partnership, 2013-2017): text mining, sentiment analysis, language resources
  • Dr Bathilde Ambroise (PhD, 2012-2016): text mining, genomics, bioinformatics
  • Dr Bo Zhao (PhD, 2011-2015): text mining, ontologies, health informatics
  • Dr Christian Bannister (PhD, funded by MRC Doctoral Training Grant, 2011-2015): machine learning, health informatics, epidemiology
  • Dr Mark Greenwood (PhD, funded by CU President's Research Scholarship, 2010-2014): text mining, health informatics, social media