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Seasonal analysis of Beach-related Issues using Local Newspaper Articles and Topic Modeling
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지역신문기사 자료와 토픽모델링을 이용한 해변 관련 계절별 현안분석

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Type
Academic journal
Author
Mu-Sang Yoo (강릉원주대학교) Su-Yeon Jeong (강릉원주대학교) Geon-Hu Kim (강릉원주대학교) Chul Sohn (강릉원주대학교)
Journal
Korean Regional Science Association Journal of the Korean Regional Science Association Vol.34 No.4 KCI Accredited Journals
Published
2018.12
Pages
19 - 34 (16page)

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Topic
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Background
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Method
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Result
Seasonal analysis of Beach-related Issues using Local Newspaper Articles and Topic Modeling
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Abstract· Keywords

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The purpose of this study is to analyze the seasonal issues using the local newspaper articles with the keyword beach from 2004 to 2017. Topic modeling and Time series regression analysis based on open source programs were performed for analysis. Topic modeling results showed 35 topics in spring, 47 topics in summer, 36 topics in autumn and 35 topics in winter. The common themes were ‘beaches’, ‘festivals and events’, ‘accident and environmental Finissues’, ‘tourism’, ‘development and sale’, ‘administration and policy’ and ‘weather’. Time series regression analysis showed in the spring, 5 Hot-Topics and 2 Cold-Topic were found out of the 35 topics. In the summer, 6 Hot-Topics and 3 Cold-Topic were found out of the 47 topics. In the autumn, 4 Hot-Topics and 3 Cold-Topic were found out of the 36 topics. In the winter, 3 Hot-Topics and 3 Cold-Topic were found out of the 35 topics. And for each season, topics that do not fall into the Hot-Topic and Cold-Topic are classified as Neutral-Topic. In this study if seasonal uses are different such as beaches are deemed that seasonal topic modeling for analysis of regional issues will yield more useful results and enable detailed diagnosis.
#토픽모델링 #시계열회귀분석 #해수욕장 #해변 #지역신문 #Topic Modeling #Time Series Regression #Beaches #Local News Paper

Contents

국문요약
Abstract
1. 연구의 배경 및 목적
2. 선행연구
3. 분석 대상 및 방법
4. 분석 결과
5. 결론
참고문헌

References (15)

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[학술지(정기간행물)] - 김창식 / 2017 / 토픽모델링과 시계열회귀분석을 활용한 정보시스템분야 연구동향 분석 / 디지털콘텐츠학회논문지 18 (6) : 1143 ~ 1150 dbpia [학술지(정기간행물)] - 김태경 / 2016 / 토픽 모델링을 이용한 핀테크 기술 동향 분석 / 한국산학기술학회논문지 17 (11) : 670 ~ 681 dbpia [학술대회논문] - 박상언 / 2016 / 토픽모델링을 이용한 방송미디어 관련 소셜 미디어 콘텐츠 분석 / 한국지능정보시스템학회 학술 대회논문집 : 22 ~ 22 dbpia [학술지(정기간행물)] - 박자현 / 2013 / 토픽모델링을 활용한 국내 문헌정보학 연구동향 분석 / 정보관리학회지 30 (1) : 7 ~ 32 Crossref [학술지(정기간행물)] - 우현지 / 2017 / 토픽 모델링을 이용한 트위터 데이터의 공간 분포 패턴 분석 / 한국지역지리학회지 23 (2) : 376 ~ 387 dbpia

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