BioTextQuest: a web-based biomedical text mining suite for concept discovery.
other · Level V
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- Record sourced from PubMed, PMID 21994227.
- Also identified by DOI 10.1093/bioinformatics/btr564.
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Abstract
BioTextQuest combines automated discovery of significant terms in article clusters with structured knowledge annotation, via Named Entity Recognition services, offering interactive user-friendly visualization. A tag-cloud-based illustration of terms labeling each document cluster are semantically annotated according to the biological entity, and a list of document titles enable users to simultaneously compare terms and documents of each cluster, facilitating concept association and hypothesis generation. BioTextQuest allows customization of analysis parameters, e.g. clustering/stemming algorithms, exclusion of documents/significant terms, to better match the biological question addressed. http://biotextquest.biol.ucy.ac.cy vprobon@ucy.ac.cy; iliopj@med.uoc.gr Supplementary data are available at Bioinformatics online.
Medical subject headings
- Data Mining
- Natural Language Processing