Using natural language processing techniques to inform research on nanotechnology

Beilstein Journal of Nanotechnology

Nastassja A. Lewinski¹  Bridget T. McInnes² 

[1] Department of Chemical and Life Science Engineering, Virginia Commonwealth University, Richmond, VA, USA;Department of Computer Science, Virginia Commonwealth University, Richmond, VA, USA;

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

DOI  :  10.3762/bjnano.6.149

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown