Text Mining

Authors

  • Kristen Cooper

DOI:

https://doi.org/10.29173/istl1702

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References

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

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Published

2017-06-01

How to Cite

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

Issue

No. 86 (2017): Spring

Section

Science and Technology Resources on the Internet

License

Copyright (c) 2017 Kristen Cooper

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

While ISTL has always been open access and authors have always retained the copyright of their papers without restrictions, articles in issues prior to no.75 were not licensed with Creative Commons licenses. Since issue no. 75 (Winter 2014), ISTL has licensed its work through Creative Commons licenses. Please refer to the Copyright and Licensing Information page for more information.

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