Text Mining


  • Kristen Cooper




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Duke University Libraries. 2016. Introduction to Text Analysis. [Internet]. [ Available from: http://guides.library.duke.edu/text_analysis

Frijters, R., Vugt, M. Van, Smeets, R., Schaik, V., Vlieg, J. De & Alkema, W. 2010. Literature mining for the discovery of hidden connections between drugs, genes and diseases. PLOS Computational Biology. DOI: 10.1371/journal.pcbi.1000943

Grubert, E. & Siders, A. 2016. Benefits and applications of interdisciplinary digital tools for environmental meta-reviews and analyses. Environmental Research Letters 11(9). DOI: 10.1088/1748-9326/11/9/093001

Hirdt, J. & Brown, D. 2016. Identifying understudied nuclear reactions by text-mining the EXFOR experimental nuclear reaction library. Nuclear Data Sheets 131:377-399. DOI: 10.1016/j.nds.2015.12.008

Nunez-Mir, G.C., Iannone, B.V., Pijanowski, B.C., Kong, N., Fei, S. & Fitzjohn, R. 2016. Automated content analysis: addressing the big literature challenge in ecology and evolution. Methods in Ecology and Evolution 7(11):1262-1272. DOI: 10.1111/2041-210X.12602

Okerson, A. 2013. Text & data mining - a librarian overview. IFLA World Congress:1-6. Available from: http://library.ifla.org/252/1/165-okerson-en.pdf

Reilly, B.F. 2012. CRL Reports. Charleston Advisor 14:75-76. DOI: 10.5260/chara.14.2.75

University of California, San Diego. 2016. [Accessed 2016 June 10]. Finding data & statistics: text mining. [Internet]. Available from: http://ucsd.libguides.com/data-statistics/textmining

University of Chicago. 2016. Text and data mining. [Internet]. [Accessed 2016 June 12]. Available from: http://guides.lib.uchicago.edu/textmining#s-lg-box-6075047

University of Illinois at Urbana-Champaign. 2016. Text mining tools. [Internet]. [Accessed 2016 June 12]. Available from: http://guides.library.illinois.edu/c.php?g=405110&p=2757860

University of Southern California. 2016. Text & data mining. [Internet]. [Accessed 2016 June 10]. Available from: http://libguides.usc.edu/textmining




How to Cite

Cooper, K. (2017). Text Mining. Issues in Science and Technology Librarianship, (86). https://doi.org/10.29173/istl1702



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