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.
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| - National Centre for Text Mining (en)
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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. (en)
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| - National Centre for Text Mining (NaCTeM) (en)
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| - National Centre for Text Mining (en)
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| - National Centre for Text Mining (en)
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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 organised by the Department of Computer Science, University of Manchester. 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 entities, along with parallel and distributed data mining systems in biomedical and clinical applications. (en)
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