Investigating methods and applications of citation context analysis
Traditionally, scientometric/text-mining approaches have treated the content of scientific articles and their citations as distinct units of analysis. The term “citation context” refers to an approach where citations to are not simply counted but where the texts around them are taken into account in order to understand and exploit the motivations and knowledge underpinning citing behaviour. Previous work, for instance, has used citation contexts to enrich term vectors for article clustering (Aljibar et al., 2010). Other work has measured the proximity and order of appearance of citations within documents as a means of recommending related work (e.g. Gipp & Beel, 2009) and enriching co-citation analysis in other applications (Callahan et al., 2010). As scientific article and citation data become more open, there are many opportunities to investigate problems and applications in this under-researched area. We invite applications from candidates with an interest in citation context analysis or closely related areas.
This is a self funded project
Brunel offers a number of funding options to research students that help cover the cost of their tuition fees, contribute to living expenses or both. See more information here: https://www.brunel.ac.uk/research/Research-degrees/Research-degree-funding. Recently the UK Government made available the Doctoral Student Loans of up to £25,000 for UK and EU students and there is some funding available through the Research Councils. Many of our international students benefit from funding provided by their governments or employers. Brunel alumni enjoy tuition fee discounts of 15%.)