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
收藏
页码：509 / 523
页数：15
相关论文
共 50 条
  • [1] Applications of text mining within systematic reviews
    Thomas, James
    McNaught, John
    Ananiadou, Sophia
    [J]. RESEARCH SYNTHESIS METHODS, 2011, 2 (01) : 1 - 14
  • [2] Using text mining for study identification in systematic reviews: A systematic review of current approaches
    O'Mara-Eves A.
    Thomas J.
    McNaught J.
    Miwa M.
    Ananiadou S.
    [J]. Systematic Reviews, 4 (1)
  • [3] Using Information Visualization and Text Mining to Facilitate the Conduction of Systematic Literature Reviews
    Fabbri, Sandra
    Hernandes, Elis
    Di Thommazo, Andre
    Belgamo, Anderson
    Zamboni, Augusto
    Silva, Cleiton
    [J]. ENTERPRISE INFORMATION SYSTEMS, ICEIS 2012, 2013, 141 : 243 - 256
  • [4] USE OF TEXT-MINING TOOLS FOR SYSTEMATIC REVIEWS
    Paynter, R. A.
    Banez, L. L.
    Berliner, E.
    Erinoff, E.
    Lege-Matsuura, J. M.
    Potter, S.
    [J]. VALUE IN HEALTH, 2016, 19 (03) : A108 - A108
  • [5] Erratum to: Using text mining for study identification in systematic reviews: a systematic review of current approaches
    Alison O’Mara-Eves
    James Thomas
    John McNaught
    Makoto Miwa
    Sophia Ananiadou
    [J]. Systematic Reviews, 4 (1)
  • [6] Sensitivity and specificity of alternative screening methods for systematic reviews using text mining tools
    Li, Jimmy
    Kabouji, Joudy
    Bouhadoun, Sarah
    Tanveer, Sarah
    Filion, Kristian B.
    Gore, Genevieve
    Josephson, Colin Bruce
    Kwon, Churl-Su
    Jette, Nathalie
    Bauer, Prisca Rachel
    Day, Gregory S.
    Subota, Ann
    Roberts, Jodie I.
    Lukmanji, Sara
    Sauro, Khara
    Ismaili, Adnane Alaoui
    Rahmani, Feriel
    Chelabi, Khadidja
    Kerdougli, Yasmine
    Seulami, Nour Meryem
    Soumana, Aminata
    Khalil, Sarah
    Maynardt, Noemie
    Keezer, Mark Robert
    [J]. JOURNAL OF CLINICAL EPIDEMIOLOGY, 2023, 162 : 72 - 80
  • [7] Using Visual Text Mining to Support the Study Selection Activity in Systematic Literature Reviews
    Felizardo, Katia R.
    Salleh, Norsaremah
    Martins, Rafael M.
    Mendes, Emilia
    MacDonell, Stephen G.
    Maldonado, Jose C.
    [J]. 2011 FIFTH INTERNATIONAL SYMPOSIUM ON EMPIRICAL SOFTWARE ENGINEERING AND MEASUREMENT (ESEM 2011), 2011, : 77 - 86
  • [8] Analyzing Online Car Reviews Using Text Mining
    Kim, En-Gir
    Chun, Se-Hak
    [J]. SUSTAINABILITY, 2019, 11 (06):
  • [9] Analysing Digital Banking Reviews Using Text Mining
    Cheng, Li Chen
    Sharmayne, Legaspi Rhea
    [J]. 2020 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM), 2020, : 914 - 918
  • [10] Text-mining Techniques and Tools for Systematic Literature Reviews: A Systematic Literature Review
    Feng, Luyi
    Chiam, Yin Kia
    Lo, Sin Kuang
    [J]. 2017 24TH ASIA-PACIFIC SOFTWARE ENGINEERING CONFERENCE (APSEC 2017), 2017, : 41 - 50
12345