National Centre for Text Mining
| National Centre for Text Mining (NaCTeM) | |
|---|---|
| Established | 2004 |
| Parent institution | School of Computer Science, University of Manchester |
| Academic affiliation | University of Manchester |
| Location | Manchester, United Kingdom |
| Director | Prof. Sophia Ananiadou |
| Website | www |
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.
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.
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Wikipedia