Mining term associations and events from bio-literature
This is a long-term project that aims at developing text mining methods that can provide efficient and sophisticated knowledge acquisition, offer plausible hypotheses for testing, prevent unnecessary repetition of previous work, and help in experimental design for specific research scenarios. We investigate various text mining approaches to establishing literature-based associations…
Blog sentiment analysis
Sentiment analysis is the extraction of attitudes and opinions from human-authored documents. The capture and analysis of such attitudes and opinions in an automated and structured fashion might offer a powerful technology to a number of problem domains, including business intelligence, marketing, national security, and crime prevention. This project aims…
Mark Greenwood
Dr Michele Filannino
I am obsessed by the following question: Can computers understand time? My research attempts to positively answer that question by designing a software that exhibits such peculiar human mind’s characteristic. I am interested in measuring, in an objective way, what is the performance difference between such software and a person.…
Natural Language Processing for Clinical Data: Continuous Success at i2b2 Challenges
2011 – This year we took again part in the annual i2b2 shared task, an international text mining challenge in the clinical/health-care domain. The team composed of members from University of Novi Sad (Kovacevic, A.) and University of Manchester (Dehghan, A., Nenadic G. and Keane, J.). The aim of the challenge…
Information for prospective postgraduate students
Ambiguity and variability of database and software names in bioinformatics
Bayesian mixture models for frequent itemset mining
Natural Language Processing for Clinical Data: Continuous Success at i2b2 Challenges
2011 – This year we took again part in the annual i2b2 shared task, an international text mining challenge in the clinical/health-care domain. The team composed of members from University of Novi Sad (Kovacevic, A.) and University of Manchester (Dehghan, A., Nenadic G. and Keane, J.). The aim of the challenge…