Text mining facilitates materials discovery
Olexandr Isayev ()
Nature, 2019, vol. 571, issue 7763, 42-43
Abstract:
Computer algorithms can be used to analyse text to find semantic relationships between words without human input. This method has now been adopted to identify unreported properties of materials in scientific papers.
Keywords: Materials science; Computer science (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.nature.com/articles/d41586-019-01978-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:571:y:2019:i:7763:d:10.1038_d41586-019-01978-x
Ordering information: This journal article can be ordered from
https://www.nature.com/
DOI: 10.1038/d41586-019-01978-x
Access Statistics for this article
Nature is currently edited by Magdalena Skipper
More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().