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Paynter R, Bañez LL, Berliner E, et al. EPC Methods: An Exploration of the Use of Text-Mining Software in Systematic Reviews [Internet]. Rockville (MD): Agency for Healthcare Research and Quality (US); 2016 Apr.

Cover of EPC Methods: An Exploration of the Use of Text-Mining Software in Systematic Reviews

EPC Methods: An Exploration of the Use of Text-Mining Software in Systematic Reviews [Internet].

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Appendix ASearch Strategies

The following databases were searched:

  1. SRC Methods Library
  2. Inspec
  3. LISA via ProQuest
  4. Science Citation Index
  5. Social Sciences Citation Index via Web of Knowledge
  6. Library, Information Science & Technology Abstracts (LISTA) via EBSCO
  8. Google Scholar
  9. IEEE
  11. PubMed (in process materials search)
  12. PsycINFO
  13. Cochrane Library

Other online sources searched were:

  1. NacTEM website
  2. Research Synthesis Methods TOC
  5. ACM digital library

The search syntax used in the database searches was tested in Embase.com. A sensitive search strategy was used in the title, abstract, and keyword fields (where available).

Text-miningEMTREE

‘Machine learning’/exp

Ultimate parent is ‘information processing’/exp		Literature mining
Text mining
Text analysis

Machine NEAR/2 learning

(document OR Text) NEAR/2 (classif* OR cluster* OR characteri* OR categoriz*)

‘support vector machine’
SVM

Cluster NEAR/2 tool*
MeSH

Exp artificial intelligence/
Natural language processingEMTREE

‘natural language processing’:de		‘Natural language processing’
NLP
‘Term recognition’
‘Word frequency analysis’
MESH

Included under artificial intelligence along with support vector machines
EMTREE
‘information retrieval’		(information OR knowledge OR text) NEAR/2 visual*
‘objectively derived’
Summarization
‘text retrieval’
‘visual data exploration’

automat*
Semi NEAR/1 automat*

Active learning

Citation management
Review management

(article* OR citation* OR document*) NEAR/2 (identif* OR retrieval* OR screen*)
MeSH

Cluster analysis
‘Information storage and retrieval’
Specific tools‘Abstrackr’
‘Aquad’
‘carrott2’
‘cassandre’:ti,ab
‘coding analysis toolkit’
‘computer aided textual markup & analysis’
‘EPPI-Reviewer 4’
‘FreeQDA’
‘Konstanz Information Miner’
‘KH Coder’
‘LibreQDA’
‘linguamatics’
‘Machine Learning for Language Toolkit’
‘medsum’
‘NLM Medical Text Indexer’
‘Pubhub’
‘Pubnet’
‘PubReMiner’
‘QCAmap’
‘QDA Miner Lite’
‘Qigga’
‘RQDA’
‘SAS on demand’
‘Semantic Features In Text’
‘SIDER 2’
‘Text analysis markup system’
‘text mining infrastructure in R’
‘Weft QDA’
‘WordStat’
‘Termine’
‘Carrot Lingo 3G’
‘Bibexcel’
‘Voyant’
Systematic review‘systematic review (topic)’
‘systematic review’
‘meta analysis’
‘meta analysis (topic)’		systematic NEAR/2 review*
(evidence OR research OR comprehensive) NEAR/2 (synthes* OR review)
‘Meta analysis’
Meta-analysis
MethodsMethod*
Technique*
Algorithm*

Limits: 2005-2015, English language

Set NumberConceptSearch Statement# Identified
1Text-mining‘machine learning’/exp OR (machine NEAR/2 learning)71,160
2(‘literature’ OR ‘text’) NEAR/2 mining1,595
3(document OR text) NEAR/2 (classif* OR cluster* OR characteri* OR categoriz*)606
4‘support vector machine’:de OR ‘support vector machine’ OR ‘SVM”11,271
5Cluster* NEAR/2 tool*248
6#1 OR #2 OR #3 OR #4 OR #575,134
7Natural language processing‘natural language processing’:de OR ‘natural language processing’ OR ‘NLP’ OR ‘term recognition’ OR ‘word frequency analysis’2,876
8Combine sets#6 OR #777,011
9Potential uses‘information retrieval’:de16,708
10(information OR knowledge OR text) NEAR/2 visual*7,341
11‘objectively derived’ OR summarization OR ‘text retrieval’ OR ‘visual data exploration’ OR ‘visual data representation’ OR ‘data abstraction’1,428
12Automat* OR (semi NEAR/2 automat*)136,711
13(citation OR review) NEAR/2 manag*6,575
14(article* OR citation* OR document*) NEAR/2 (identif* OR retrieval* OR screen*)13,197
15#9 OR #10 OR #11 OR #12 OR #13 OR #14177,247
16Systematic reviews‘systematic review’:de OR ‘systematic review (topic)’:de94,565
17Systematic NEAR/2 review*123,057
18(evidence OR research OR comprehensive OR critical OR Cochrane) NEAR/2 (synthes* OR review*)70,436
19‘meta analysis’:de OR ‘meta analysis (topic)’:de OR (meta NEAR/1 analy*)109,864
20Combine sets#16 OR #17 OR #18 OR #19225,345
21Limiting concepts#20 AND (method* OR technique* OR algorithm*)123,113
22Combine sets#8 AND #15 AND #21140
23Specific programs‘Abstrackr’ OR ‘Aquad’ OR ‘carrott2’ OR ‘cassandre’:ti,ab OR ‘coding analysis toolkit’ OR ‘computer aided textual markup & analysis’ OR ‘EPPI-Reviewer 4’ OR ‘FreeQDA’ OR ‘Konstanz Information Miner’ OR ‘KH Coder’ OR ‘LibreQDA’ OR ‘linguamatics’ OR ‘Machine Learning for Language Toolkit’ OR ‘medsum’ OR ‘NLM Medical Text Indexer’ OR ‘Pubhub’ OR ‘Pubnet’ OR ‘PubReMiner’ OR ‘QCAmap’ OR ‘QDA Miner Lite’ OR ‘Qigga’ OR ‘RQDA’ OR ‘SAS on demand’ OR ‘Semantic Features In Text’ OR ‘SIDER 2’ OR ‘Text analysis markup system’ OR ‘text mining infrastructure in R’ OR ‘Weft QDA’ OR ‘WordStat’ OR ‘Termine’ OR ‘Carrot Lingo 3G’ OR ‘Bibexcel’ OR ‘Voyant’213
24Combine sets#21 AND #236
25Combine sets#22 OR #24146

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