State of the Art Research on Sustainable Use of Water Hyacinth: A Bibliometric and Text Mining Analysis
This study aims to present a systematic data-driven bibliometric analysis of the water hyacinth (<i>Eichhornia crassipes</i>) infestation problem around the globe. As many solutions are being proposed in academia for its management, mitigation, and utilization, it requires investigation...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-06-01
|
| Series: | Informatics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-9709/8/2/38 |
| _version_ | 1797531140161011712 |
|---|---|
| author | Aman Basu Amit Kumar Hazra Shibani Chaudhury Andrew B. Ross Srinivasan Balachandran |
| author_facet | Aman Basu Amit Kumar Hazra Shibani Chaudhury Andrew B. Ross Srinivasan Balachandran |
| author_sort | Aman Basu |
| collection | DOAJ |
| description | This study aims to present a systematic data-driven bibliometric analysis of the water hyacinth (<i>Eichhornia crassipes</i>) infestation problem around the globe. As many solutions are being proposed in academia for its management, mitigation, and utilization, it requires investigation through a systematic scrutinizing lens. In this study, literature records from 1977 to June 2020 concerning research on water hyacinth are taken from Scopus for text analysis. Trends in the publication of different article types, dynamics of publication, clustering, correlation, and co-authoring patterns between different countries are observed. The cluster analysis indicated four clusters viz. (i) ecological works related to species, (ii) pollutant removal process and methods, (iii) utilization of biofuels for biogas production, and (iv) modelling works. It is clear from the networking analysis that most of the publications regarding water hyacinth are from India, followed by China and the United States. Sentiment analysis with the AFINN lexicon showed that the negative sentiment towards the aquatic weed has intensified over time. An exploratory analysis was performed using a bigram network plot, depicting and outlining different important domains of water hyacinth research. Water hyacinth research has passed the pioneering phase and is now at the end of a steady growth phase or at the beginning of an acceleration phase. In this article, an overview is given for the entirety of water hyacinth research, with an indication of future trends and possibilities. |
| first_indexed | 2024-03-10T10:39:42Z |
| format | Article |
| id | doaj.art-1df6375ecdef45848cc132c5ddd7d149 |
| institution | Directory Open Access Journal |
| issn | 2227-9709 |
| language | English |
| last_indexed | 2024-03-10T10:39:42Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Informatics |
| spelling | doaj.art-1df6375ecdef45848cc132c5ddd7d1492023-11-21T23:01:16ZengMDPI AGInformatics2227-97092021-06-01823810.3390/informatics8020038State of the Art Research on Sustainable Use of Water Hyacinth: A Bibliometric and Text Mining AnalysisAman Basu0Amit Kumar Hazra1Shibani Chaudhury2Andrew B. Ross3Srinivasan Balachandran4Department of Biology, York University, 4700 Keele St, Toronto, ON M3J 1P3, CanadaDepartment of Environmental Studies, Visva Bharati University, Siksha-Bhavana, Visva-Bharati, West Bengal 731235, IndiaDepartment of Lifelong Learning and Extension, Institute of Rural Reconstruction, Visva-Bharati, West Bengal 731235, IndiaSchool of Chemical and Process Engineering, University of Leeds, Leeds LS2 9JT, UKDepartment of Lifelong Learning and Extension, Institute of Rural Reconstruction, Visva-Bharati, West Bengal 731235, IndiaThis study aims to present a systematic data-driven bibliometric analysis of the water hyacinth (<i>Eichhornia crassipes</i>) infestation problem around the globe. As many solutions are being proposed in academia for its management, mitigation, and utilization, it requires investigation through a systematic scrutinizing lens. In this study, literature records from 1977 to June 2020 concerning research on water hyacinth are taken from Scopus for text analysis. Trends in the publication of different article types, dynamics of publication, clustering, correlation, and co-authoring patterns between different countries are observed. The cluster analysis indicated four clusters viz. (i) ecological works related to species, (ii) pollutant removal process and methods, (iii) utilization of biofuels for biogas production, and (iv) modelling works. It is clear from the networking analysis that most of the publications regarding water hyacinth are from India, followed by China and the United States. Sentiment analysis with the AFINN lexicon showed that the negative sentiment towards the aquatic weed has intensified over time. An exploratory analysis was performed using a bigram network plot, depicting and outlining different important domains of water hyacinth research. Water hyacinth research has passed the pioneering phase and is now at the end of a steady growth phase or at the beginning of an acceleration phase. In this article, an overview is given for the entirety of water hyacinth research, with an indication of future trends and possibilities.https://www.mdpi.com/2227-9709/8/2/38water hyacinthcluster analysissentiment analysistext-miningnetwork analysis |
| spellingShingle | Aman Basu Amit Kumar Hazra Shibani Chaudhury Andrew B. Ross Srinivasan Balachandran State of the Art Research on Sustainable Use of Water Hyacinth: A Bibliometric and Text Mining Analysis Informatics water hyacinth cluster analysis sentiment analysis text-mining network analysis |
| title | State of the Art Research on Sustainable Use of Water Hyacinth: A Bibliometric and Text Mining Analysis |
| title_full | State of the Art Research on Sustainable Use of Water Hyacinth: A Bibliometric and Text Mining Analysis |
| title_fullStr | State of the Art Research on Sustainable Use of Water Hyacinth: A Bibliometric and Text Mining Analysis |
| title_full_unstemmed | State of the Art Research on Sustainable Use of Water Hyacinth: A Bibliometric and Text Mining Analysis |
| title_short | State of the Art Research on Sustainable Use of Water Hyacinth: A Bibliometric and Text Mining Analysis |
| title_sort | state of the art research on sustainable use of water hyacinth a bibliometric and text mining analysis |
| topic | water hyacinth cluster analysis sentiment analysis text-mining network analysis |
| url | https://www.mdpi.com/2227-9709/8/2/38 |
| work_keys_str_mv | AT amanbasu stateoftheartresearchonsustainableuseofwaterhyacinthabibliometricandtextmininganalysis AT amitkumarhazra stateoftheartresearchonsustainableuseofwaterhyacinthabibliometricandtextmininganalysis AT shibanichaudhury stateoftheartresearchonsustainableuseofwaterhyacinthabibliometricandtextmininganalysis AT andrewbross stateoftheartresearchonsustainableuseofwaterhyacinthabibliometricandtextmininganalysis AT srinivasanbalachandran stateoftheartresearchonsustainableuseofwaterhyacinthabibliometricandtextmininganalysis |