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Lewinski NA, McInnes BT. Using natural language processing techniques to inform research on nanotechnology. Beilstein J Nanotechnol. 2015;6:1439-49doi: 10.3762/bjnano.6.149.
Lewinski, N. A., & McInnes, B. T. (2015). Using natural language processing techniques to inform research on nanotechnology. Beilstein journal of nanotechnology, 61439-49. https://doi.org/10.3762/bjnano.6.149
Lewinski, Nastassja A, and McInnes, Bridget T. "Using natural language processing techniques to inform research on nanotechnology." Beilstein journal of nanotechnology vol. 6 (2015): 1439-49. doi: https://doi.org/10.3762/bjnano.6.149
Lewinski NA, McInnes BT. Using natural language processing techniques to inform research on nanotechnology. Beilstein J Nanotechnol. 2015 Jul 01;6:1439-49. doi: 10.3762/bjnano.6.149. eCollection 2015. PMID: 26199848; PMCID: PMC4505089.
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Beilstein J Nanotechnol. 2015 Jul 01;6:1439-49. doi: 10.3762/bjnano.6.149. eCollection 2015.

Using natural language processing techniques to inform research on nanotechnology.

Beilstein journal of nanotechnology

Nastassja A Lewinski, Bridget T McInnes

Affiliations

  1. Department of Chemical and Life Science Engineering, Virginia Commonwealth University, Richmond, VA, USA.
  2. Department of Computer Science, Virginia Commonwealth University, Richmond, VA, USA.

PMID: 26199848 PMCID: PMC4505089 DOI: 10.3762/bjnano.6.149

Abstract

Literature in the field of nanotechnology is exponentially increasing with more and more engineered nanomaterials being created, characterized, and tested for performance and safety. With the deluge of published data, there is a need for natural language processing approaches to semi-automate the cataloguing of engineered nanomaterials and their associated physico-chemical properties, performance, exposure scenarios, and biological effects. In this paper, we review the different informatics methods that have been applied to patent mining, nanomaterial/device characterization, nanomedicine, and environmental risk assessment. Nine natural language processing (NLP)-based tools were identified: NanoPort, NanoMapper, TechPerceptor, a Text Mining Framework, a Nanodevice Analyzer, a Clinical Trial Document Classifier, Nanotoxicity Searcher, NanoSifter, and NEIMiner. We conclude with recommendations for sharing NLP-related tools through online repositories to broaden participation in nanoinformatics.

Keywords: data mining; informatics; name entity recognition; nano-informatics; nanoparticles; nanotechnology; nanotoxicity; natural language processing; text mining

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