Supporting Systematic Reviews Using Text Mining

被引：72

作者：

Ananiadou, Sophia ^{[1
]}

Rea, Brian

Okazaki, Naoaki ^{[4
]}

Procter, Rob ^{[3
]}

Thomas, James ^{[2
]}

机构：

[1] Univ Manchester, Natl Ctr Text Min, Manchester M1 7DN, Lancs, England

[2] Univ London, London WC1E 7HU, England

[3] Univ Manchester, UK Natl Ctr E Social Sci, Manchester M1 7DN, Lancs, England

[4] Univ Tokyo, Tokyo 1138654, Japan

来源：

SOCIAL SCIENCE COMPUTER REVIEW | 2009年 / 27卷 / 04期

关键词：

text mining; terminology; summarisation; systematic reviews; document classification;

D O I：

10.1177/0894439309332293

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：509 / 523

页数：15

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