gnTEAM provides traninig in topics related to text mining for undergraduate (BSc final year projects) and postgraudate students (MSc, MPhil, PhD and EngD projects).
Final year undergraduate and MSc projects associated with the team are announced annually as part of the School of Computer Science taught programmes.
The current research post-graduate themes include:
- Integrated and Contrastive Text and Data Mining
- Text Analytics and Blog/Forum Sentiment Analysis
- Extracting negations, contrasts and contradiction from biomedical literature
- Clinical text mining
- Text mining in engineering
More specific post-graduate information is available here. For PhD funding opportunities see CDT in Computer Science.
Selected completed student projects
|Student Name||Project Title||Year|
|E. Hein||EDViC: a web application to visualise and explore epidemiological literature (BSc project)||2013|
|T. Patel||Analysing Twitter Posts to Discover and Review New Software Tools (BSc project)||2012|
|B. Dumitru||Mining twitter data to gather information about pharmaceutical drugs (BSc project)||2012|
|I. Townend||Mapping of Clinical Data between Heterogeneous Terminologies and Classifications (MSc project)||2011|
|S. Asif||An Analysis of Financial Blogs and Forums (MSc project)||2010|
|A. Dehghan||A Rule-based Approach to External Context Extraction from Biomedical Literature: URL and Role Extraction (MSc project)||2010|
|A. Tsoutsoumpi||A question answering system from FAQ pages (MSc project)||2010|
|D. Yang||Extending Areca with Remote Backup Features (BSc project)||2010|
|S. Latif||Automatic Summarisation As Pre-Processing For Document Clustering (PhD project)||2010|
|M. Greenwood||Prioritising links for Topic-focused Web Crawling using Lexical and Terminological Profiling (MPhil project)||2009|
|H. Afzal||A Literature-Based Framework for Semantic Descriptions of E-Science Resources (PhD project)||2009|