Exploring Topic Modeling in The Domain of Integrated Water Resource Management
dc.contributor.advisor | Erechtchoukova, Marina G. | |
dc.contributor.author | Kohli, Akshay Kumar | |
dc.date.accessioned | 2021-11-15T15:31:01Z | |
dc.date.available | 2021-11-15T15:31:01Z | |
dc.date.copyright | 2021-06 | |
dc.date.issued | 2021-11-15 | |
dc.date.updated | 2021-11-15T15:31:01Z | |
dc.degree.discipline | Information Systems and Technology | |
dc.degree.level | Master's | |
dc.degree.name | MA - Master of Arts | |
dc.description.abstract | To successfully achieve the United Nations Sustainable Development goals, policy and decision making should include Integrated Environmental Assessment (IEA). Water resources and there utilization play an important role in achieving these goals at all levels from global to local. Sustainability of a water resource is of paramount importance for achieving United Nations long-term development goals. Sustainability of a resource is governed by the interplay of inner natural processes, biological, economical and social systems, making management of a water resource a complex multidisciplinary problem which can be solved only by combining various approaches. The thesis explored application of text mining techniques, namely, topic modelling, to scientific publications in the sustainable water resource management domain with the goal to identify major research questions, practical problems and methodological approaches used to address these problems. Comparative analysis of approaches to building corpora and model performance evaluations were conducted. | |
dc.identifier.uri | http://hdl.handle.net/10315/38712 | |
dc.language | en | |
dc.rights | Author owns copyright, except where explicitly noted. Please contact the author directly with licensing requests. | |
dc.subject | Sustainability | |
dc.subject.keywords | Environmental sustainability | |
dc.subject.keywords | Text mining | |
dc.subject.keywords | Topic modelling | |
dc.subject.keywords | Water resource management | |
dc.subject.keywords | Natural language processing | |
dc.subject.keywords | Machine learning | |
dc.title | Exploring Topic Modeling in The Domain of Integrated Water Resource Management | |
dc.type | Electronic Thesis or Dissertation |
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