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Using natural language processing techniques to inform research on nanotechnology.

Nastassja A Lewinski1, Bridget T McInnes2

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

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|July 23, 2015
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Summary
This summary is machine-generated.

Natural language processing (NLP) tools can help manage the growing data on engineered nanomaterials. Reviewing nine NLP tools, this study recommends sharing them to advance nanoinformatics.

Keywords:
data mininginformaticsname entity recognitionnano-informaticsnanoparticlesnanotechnologynanotoxicitynatural language processingtext mining

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Area of Science:

  • Nanotechnology and Nanoinformatics
  • Computational Science
  • Materials Science

Background:

  • Exponential growth in nanotechnology literature necessitates efficient data management.
  • Engineered nanomaterials require cataloging of properties, performance, and safety data.
  • Existing informatics methods are applied across various nanotechnology domains.

Purpose of the Study:

  • To review informatics methods applied to nanotechnology data.
  • To identify and categorize natural language processing (NLP)-based tools for nanoinformatics.
  • To provide recommendations for enhancing nanoinformatics research.

Main Methods:

  • Literature review of informatics applications in nanotechnology.
  • Identification and analysis of NLP-based tools used in patent mining, characterization, nanomedicine, and risk assessment.
  • Categorization of nine specific NLP tools.

Main Results:

  • Nine NLP-based tools were identified: NanoPort, NanoMapper, TechPerceptor, Text Mining Framework, Nanodevice Analyzer, Clinical Trial Document Classifier, Nanotoxicity Searcher, NanoSifter, and NEIMiner.
  • These tools address challenges in managing diverse nanotechnology data.
  • The review highlights the application of NLP across different areas of nanoinformatics.

Conclusions:

  • NLP tools are crucial for semi-automating the cataloging of engineered nanomaterials and their associated data.
  • Sharing NLP tools via online repositories can foster broader participation in nanoinformatics.
  • Further development and dissemination of NLP resources are recommended to support the field.