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Supporting Systematic Reviews Using Text Mining

delete2009-04-20
delete93
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OA
AI
S
Sophia Ananiadou *
B
Brian Rea
N
Naoaki Okazaki
R
Rob Procter
J
James Thomas
DOI:10.1177/0894439309332293delete
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Abstract

Abstract

En 中文
In this article, we describe how we are using text mining solutions to enhance the production of systematic reviews. The aims of this collaborative project are the development of a text mining framework to support systematic reviews and the provision of a service exemplar serving as a test bed for deriving requirements for the development of more generally applicable text mining tools and services.
Keywords:
text mining
terminology
summarisation
systematic reviews
document classification
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Computer Science Review cover
Computer Science Review
IF:
12.7
Papers:
2.3K
Citations:
5.2K

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U
University of Tokyo
Scholars:
7.1W
Papers: 6.5W
Citations: 2.2K
U
university of london
Scholars:
21.5W
Papers: 19.7W
Citations: 305
U
University of Manchester
Scholars:
5.7W
Papers: 5.3W
Citations: 7.4W
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