We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
A Study on Environmental Trends and Sustainability in the Ocean Economy Using Topic Modeling: South Korean News Articles
AI summary Read the abstract
Researchers used topic modeling of over 50,000 South Korean news articles from 2008-2022 to track evolving environmental concerns in ocean economy sectors, revealing shifts in public and media attention toward marine sustainability and pollution issues over time.
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.
More Papers Like This
An issue analysis on microplastics using topic modeling
AI summary Read the abstract
This Korean study used topic modeling (LDA algorithm) to analyze news coverage of microplastics from 2001 to 2022, extracting ten major topic clusters. The analysis found that public discourse has centered on health and safety, environmental pollution, single-use waste, policy, and citizen action — insights that can help align research priorities with public concerns.
Identifying Emerging Issues in the Seafood Industry Based on a Text Mining Approach
AI summary Read the abstract
Researchers used text mining and keyword analysis of news application programming interfaces to identify emerging issues in the seafood industry, moving beyond traditional literature-based or expert-judgment approaches. The method revealed patterns in topics such as microplastics, food safety, and sustainability that are gaining attention in industry news coverage.
Topic modeling discovers trending topics in global research on the ecosystem impacts of microplastics
AI summary Read the abstract
Researchers applied computational topic modeling to analyze how global microplastic research on ecosystem impacts has evolved across topics, regions, and time periods. The analysis identified trending research themes including terrestrial microplastics and biological interactions while revealing that marine-focused topics remain dominant, helping map the next frontiers for microplastic ecology research.
Analysis of Popular Social Media Topics Regarding Plastic Pollution
AI summary Read the abstract
Researchers applied five topic modelling techniques including LDA, HDP, LSI, NMF, and STM to 274,404 plastic pollution-related tweets to identify dominant public discourse themes on social media. The analysis revealed that certain techniques were more effective at capturing topic coherence and prevalence, providing policymakers with tools to understand public opinion and target environmental communication strategies.
Comparative Analysis of Microplastics Research Trends in Korea, China, and Japan Using Text Mining
AI summary Read the abstract
Researchers conducted a comparative text mining analysis of microplastics research trends in Korea, China, and Japan using keyword co-occurrence and topic modeling, finding that Korea emphasizes ecosystem toxicity, China focuses on transport mechanisms and heavy metal interactions, and Japan investigates distribution and biodiversity impacts.
Research digests by email
When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.