Text mining research papers
Applications and theoretical astext mining scientific papers: a survey on fca-based information retrieval researchauthorsauthors and affiliationsjonas poelmansdmitry i.
Kuznetsovconference e notes in computer series (lncs, volume 7377)abstractformal concept analysis (fca) is an unsupervised clustering technique and many scientific papers are devoted to applying fca in information retrieval (ir) research.
We collected 103 papers published between 2003-2009 which mention fca and information retrieval in the abstract, title or keywords.
Using a prototype of our fca-based toolset cordiet, we converted the pdf-files containing the papers to plain text, indexed them with lucene using a thesaurus containing terms related to fca research and then created the concept lattice shown in this paper.
We visualized, analyzed and explored the literature with concept lattices and discovered multiple interesting research streams in ir of which we give an extensive overview.
The core contributions of this paper are the innovative application of fca to the text mining of scientific papers and the survey of the fca-based ir wunable to display preview.
Conceptual knowledge retrieval with fooca: improving web search engine results with contexts and concept hierarchies.
K leuven gent management siteit van amsterdam business schoolamsterdamthe al research university higher school of economics (hse)ns j.
Springer, berlin, er, berlin, ts and alised in to check le on all sales tax included if about institutional use cookies to improve your experience with our rial conference on data 2012: advances in data mining.