Next Article in Journal
Electric Vehicle Charging Load Prediction Model Considering Traffic Conditions and Temperature
Previous Article in Journal
A Novel Cellular Network Traffic Prediction Algorithm Based on Graph Convolution Neural Networks and Long Short-Term Memory through Extraction of Spatial-Temporal Characteristics
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

A Study on Environmental Trends and Sustainability in the Ocean Economy Using Topic Modeling: South Korean News Articles

1
College of Business Administration, Incheon National University, 119, Academy-ro, Yeonsu-gu, Incheon 22012, Republic of Korea
2
College of Business Administration, Gyeonsang Natonal University, 501, Jinju-daero, Jinju-si 52828, Republic of Korea
3
Port Research Department, Korea Maritime Institute, 301, Haryang-ro, Youngdo-gu, Busan 49111, Republic of Korea
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Processes 2023, 11(8), 2253; https://doi.org/10.3390/pr11082253
Submission received: 8 June 2023 / Revised: 21 July 2023 / Accepted: 24 July 2023 / Published: 26 July 2023

Abstract

The ocean economy plays a critical role in global economic growth, yet it confronts substantial environmental risks. This study employs topic modeling of South Korean news articles to analyze the evolving trends of environmental risks and sustainability in ocean economy. A dataset comprising 50,213 articles from 2008 to 2022 is examined, revealing prevalent environmental concerns that have persisted over the years. The findings demonstrate an increasing emphasis on sustainability and marine environmental issues, as evidenced by prominent keywords related to construction, safety, plastic pollution, and ecosystem conservation. Through Latent Dirichlet Allocation (LDA) in topic modeling, 10 distinct themes are identified, encompassing sustainable fisheries management, accident and disaster response, polar environment, carbon neutrality, microplastic pollution, habitat ecosystems, cruise tourism development, nuclear power plant pollution, and infectious diseases. The outcomes highlight the necessity of collaborative efforts and international partnerships, underpinned by diplomatic cooperation, to effectively address transboundary environmental challenges encountered in the ocean-based industries.
Keywords: ocean economy; environmental trends; sustainability; topic modeling; text mining ocean economy; environmental trends; sustainability; topic modeling; text mining

Share and Cite

MDPI and ACS Style

Kang, H.J.; Kim, C.; Kim, S.; Kim, C. A Study on Environmental Trends and Sustainability in the Ocean Economy Using Topic Modeling: South Korean News Articles. Processes 2023, 11, 2253. https://doi.org/10.3390/pr11082253

AMA Style

Kang HJ, Kim C, Kim S, Kim C. A Study on Environmental Trends and Sustainability in the Ocean Economy Using Topic Modeling: South Korean News Articles. Processes. 2023; 11(8):2253. https://doi.org/10.3390/pr11082253

Chicago/Turabian Style

Kang, Hee Jay, Changhee Kim, Sungki Kim, and Chanho Kim. 2023. "A Study on Environmental Trends and Sustainability in the Ocean Economy Using Topic Modeling: South Korean News Articles" Processes 11, no. 8: 2253. https://doi.org/10.3390/pr11082253

APA Style

Kang, H. J., Kim, C., Kim, S., & Kim, C. (2023). A Study on Environmental Trends and Sustainability in the Ocean Economy Using Topic Modeling: South Korean News Articles. Processes, 11(8), 2253. https://doi.org/10.3390/pr11082253

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop