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The National Centre for Text Mining (NaCTeM) is a publicly funded text mining (TM) centre. It was established to provide support, advice, and information on TM technologies and to disseminate information from the larger TM community, while also providing tailored services and tools in response to the requirements of the United Kingdom academic community. The software tools and services which NaCTeM supplies allow researchers to apply text mining techniques to problems within their specific areas of interest - examples of these tools are highlighted below. In addition to providing services, the Centre is also involved in, and makes significant contributions to, the text mining research community both nationally and internationally in initiatives such as Europe PubMed Central. The Centre is located in the Manchester Institute of Biotechnology and is operated and organized by the University of Manchester School of Computer Science. NaCTeM contributes expertise in natural language processing and information extraction, including Named-entity recognition and extractions of complex relationships (or events) that hold between named entitites, along with parallel and distributed data mining systems in biomedical and clinical applications. ==Services== (TerMine ) is a domain independent method for automatic term recognition which can be used to help locate the most important terms in a document and automatically ranks them. (AcroMine ) finds all known expanded forms of acronyms as they have appeared in Medline entries or conversely, it can be used to find possible acronyms of expanded forms as they have previously appeared in Medline and disambiguates them.〔 〕 (Medie ) is an intelligent search engine, for semantic retrieval of sentences containing biomedical correlations from Medline abstracts (Facta+ ) is a Medline search engine for finding associations between biomedical concepts.〔 〕 (Facta+ Visualizer ) is a web application that aids in understanding FACTA+ search results through intuitive graphical visualisation. (KLEIO ) is a faceted semantic information retrieval system over Medline abstracts. (Europe PMC EvidenceFinder ) helps users to explore facts that involve entities of interest within the full text articles of the Europe PubMed Central database. (EUPMC Evidence Finder for Anatomical entities with meta-knowledge ) - similar to the Europe PMC EvidenceFinder, allowing exploration of facts involving anatomical entities within the full text articles of the Europe PubMed Central database. Facts can be filtered according to various aspects of their interpretation (e.g., negation, certainly level, novelty). (Info-PubMed ) provides information and graphical representation of biomedical interactions extracted from Medline using deep semantic parsing technology. This is supplemented with a term dictionary consisting of over 200,000 protein/gene names and identification of disease types and organisms. (Clinical Trial Protocols (ASCOT) ) is an efficient, semantically-enhanced search application, customised for clinical trial documents. (History of Medicine (HOM) ) is semantic search system over historical medical document archives 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「National Centre for Text Mining」の詳細全文を読む スポンサード リンク
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