State of the Art Research on Sustainable Use of Water Hyacinth: A Bibliometric and Text Mining Analysis

Basu, A, Hazra, AK, Chaudhury, S et al. (2 more authors) (2021) State of the Art Research on Sustainable Use of Water Hyacinth: A Bibliometric and Text Mining Analysis. Informatics, 8 (2). 38. ISSN 2227-9709

Abstract

Metadata

Authors/Creators:
  • Basu, A
  • Hazra, AK
  • Chaudhury, S
  • Ross, AB
  • Balachandran, S
Copyright, Publisher and Additional Information: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Keywords: water hyacinth; cluster analysis; sentiment analysis; text-mining; network analysis
Dates:
  • Published: 6 June 2021
  • Accepted: 3 June 2021
  • Published (online): 6 June 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds)
Funding Information:
FunderGrant number
BBSRC (Biotechnology & Biological Sciences Research Council)BB/S011439/1
Depositing User: Symplectic Publications
Date Deposited: 30 Sep 2021 14:41
Last Modified: 30 Sep 2021 14:41
Status: Published
Publisher: MDPI
Identification Number: https://doi.org/10.3390/informatics8020038

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