Saffron – Extracting the Valuable Threads of Expertise
Saffron is a research framework for the extraction of knowledge from text with applications in expert finding, community detection, recommender systems, and enterprise search. Saffron analysis is fully automatic and is based on text mining and linked data principles. Saffron algorithms include: key-phrase extraction, entity linking, taxonomy extraction, expertise mining, and data visualization.
Browsing Scientific Publications
- Search interface for the ACL anthology , ‘A Digital Archive of Research Papers in Computational Linguistics’.
- Search interface for proceedings and research community of the International Conference on Language Resources and Evaluation (LREC)
- Search interface for Semantic Web Dog Food, a Linked Data based corpus of Semantic Web Conferences.
- Search interface for proceedings and research community in Information Retrieval (CLEF, TREC,NTCIR), in the context of the EU funded project PROMISE on Multimedia and Multilingual Information Systems Evaluation.
Search for the Enterprise Domain
- REFINE, an Enterprise Ireland commercialization project on creating a research expertise finder system for government funding agencies and research bodies (DERI Applied Innovations)
- Enterprise Search (with Storm Technology)
- Search interface for a corpus about the financial crisis of 2007-2008, in the context of the EI funded project GRCTC.
- Recommendation search interface in the eCommerce domain for Kennys Bookshop & Art Gallery, in the context of the CARS project on Content Analysis for Recommender Systems.
- Community detection in Web Science research (with Clare Hooper from University of Southampton’s IT Innovation Centre)
- Adaptive Learning on Mobile using Analytics and Analysis of Content in the context of the Learnovate Technology Centre for Learning Innovation (DERI Applied Innovations)
- Analysis of Ebola related news articles in the context of the Irish Times project.
- Analysis of ‘Dracula’ by Bram Stoker in the context of the IRC funded workshop on Natural Language Processing for Digital Humanities.
Watch the Saffron video