TY  - JOUR
JF  - Reseach Synthesis Methods
A1  - Stansfield, C
A1  - O'Mara-Eves, A
A1  - Thomas, J
SN  - 1759-2887
UR  - http://doi.org/10.1002/jrsm.1250
N1  - Copyright © 2017 John Wiley & Sons, Ltd. This version is the author accepted manuscript. For information on re-use, please refer to the publisher?s terms and conditions.
IS  - 3
VL  - 8
SP  - 355
KW  - Clustering
KW  -  information retrieval
KW  -  systematic search
KW  -  text mining
ID  - discovery1562394
N2  - Using text mining to aid the development of database search strings for topics described by diverse terminology has potential benefits for systematic reviews; however, methods and tools for accomplishing this are poorly covered in the research methods literature. We briefly review the literature on applications of text mining for search term development for systematic reviewing. We found that the tools can be used in 5 overarching ways: improving the precision of searches; identifying search terms to improve search sensitivity; aiding the translation of search strategies across databases; searching and screening within an integrated system; and developing objectively derived search strategies. Using a case study and selected examples, we then reflect on the utility of certain technologies (term frequency-inverse document frequency and Termine, term frequency, and clustering) in improving the precision and sensitivity of searches. Challenges in using these tools are discussed. The utility of these tools is influenced by the different capabilities of the tools, the way the tools are used, and the text that is analysed. Increased awareness of how the tools perform facilitates the further development of methods for their use in systematic reviews.
TI  - Text mining for search term development in systematic reviewing: A discussion of some methods and challenges
EP  - 365
AV  - public
Y1  - 2017/09//
ER  -