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A Study on the analysis of water management issues using text mining based on government press release and online news data

YOO, Seungyeol

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Abstract

This research paper aims to check whether there are differences in government attention and social attention on major water management issues and to explore how to derive the differences, using text mining techniques based on government press release and online news data.

For this research, keywords on water management issues were derived from press release of the Ministry of Environment (MOE) and online news articles from 2016 to 2020, and the frequency and content of the keywords were compared in terms of governmental and social side. In this process, the Bigram and Word2Vec methods were used to derive keywords that could be sufficiently expressed information of issues on water management. As a result of this research, it was confirmed that the extent of the governments attention and social attention may depending on the water management issues during same period, and that what issues differed by year.

Finally, I think this research result is meaningful in laying the foundation for more research and development in a more advanced direction, not a methodology that dramatically improves the analysis of policy issues.

Advisor(s)
Kim, Seong-han
Department
KDI School, Master of Public Management
Issue Date
2022
Publisher
KDI School
Description
Thesis(Master) -- KDI School: Master of Public Management, 2022
Keywords
Water-supply--Management; Water resources development
Outstanding
Outstanding
Contents
1. Introduction

2. Literature review

3. Problem statement

4. Methodology of study

5. Result and discussion

6. Conclusion
Pages
56 p
URI
https://archives.kdischool.ac.kr/handle/11125/44729
Type
Capstone
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