User: Brian Rea

Name: Brian Rea

Joined: Monday 19 May 2008 15:30:42 (UTC)

Last seen: Thursday 23 July 2009 17:05:09 (UTC)

Email (public): brian.rea [at] manchester.ac.uk

Website: http://www.nactem.ac.uk

Location: Manchester, United Kingdom

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Brian Rea has been credited 2 times

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My main research is in providing assistance and solutions to challenges with research activity through the use of text mining techniques. As part of this goal my research is focussed upon large scale information retrieval tasks and how they can be improved through the integration of text and data mining tools with natural language processing algorithms. In order to achieve the scalability of solutions this has been investigated alongside distributed computing techniques. To complement the technical development and application provision I am interested in the human factors associated with non-expert use of these tools, in particular the seemingly self imposed barriers built by arts and humanities users. Therefore usability studies and interface development are key issues during the development and evaluation phases of my research.

Other contact details:

Not specified

Interests:

Text mining, usability, work flows, service provision

Field/Industry: Text Mining

Occupation/Role(s): Research Associate

Organisation(s):

National Centre for Text Mining,
University of Manchester

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Taverna 2

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Brian Rea

Term Extraction with NaCTeM's TerMine Tool (2)

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Pass in text and retrieve a list of terms discovered ranked by their importance within the text.

Created: 2009-07-23

Credits: Brian Rea National Centre for Text Mining (NaCTeM)

Taverna 1

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Brian Rea

Termine Webservice (1)

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Termine is a service provided by the National Centre for Text Mining (NaCTeM) to assist in the discovery of terms in text. More information on the Termine service can be found here. This workflow represents the simplest method of using Termine. The input represents a text string with the output being an string containing a representation of the list of terms, with their C-Value scores (representing significance in the text), in a simple xml format. Other variations of this tools will be adde...

Created: 2008-05-19 | Last updated: 2008-05-19

Credits: Brian Rea National Centre for Text Mining (NaCTeM)

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