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Papers
61,005 resultsShowing papers similar to Information Extraction from Unstructured Data on Microplastics through Text Mining
ClearIdentifying Emerging Issues in the Seafood Industry Based on a Text Mining Approach
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.
Comparative Analysis of Microplastics Research Trends in Korea, China, and Japan Using Text Mining
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.
Analysis of Popular Social Media Topics Regarding Plastic Pollution
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.
An issue analysis on microplastics using topic modeling
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.
Toxic Curiosity: Public Health Interest in Microplastics Across a Polluted World
Researchers analyzed Google Trends data across 56 countries and found a moderate positive correlation between a country's single-use plastic waste generation and public search interest in microplastics. Health-related searches were most prevalent in Singapore, Australia, Japan, New Zealand, and the United States, with common queries focused on microplastics in blood, brain, breast milk, and reproductive organs.
Topic modeling discovers trending topics in global research on the ecosystem impacts of microplastics
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.
Intersections between materials science and marine plastics to address environmental degradation drivers: a machine learning approach
Using natural language processing and expert knowledge, this study connected the marine plastics research community with polymer science to better understand why plastics degrade in the ocean. The machine learning approach identified shared concepts between fields that could accelerate solutions to marine plastic pollution.
How do humans recognize and face challenges of microplastic pollution in marine environments? A bibliometric analysis
Researchers performed a bibliometric analysis of 1,898 publications on marine microplastics, mapping research growth, collaboration networks, and thematic trends over time, and predicting that future research will increasingly focus on biological effects, human health impacts, and policy-relevant risk characterization.
What are the future directions for microplastics characterization? A regex-llama data mining approach for identifying emerging trends
Researchers developed a hybrid method combining regex-based pattern detection with the Llama 3.2 language model to identify emerging trends in microplastic characterization techniques. The study explored established methods like Raman and FTIR spectroscopy alongside advanced tools such as X-ray Photoelectron Spectroscopy and Surface-Enhanced Raman Spectroscopy, enhancing the accuracy of identifying analytical innovations in the field.
Twitter data analysis to assess the interest of citizens on the impact of marine plastic pollution
Analysis of approximately 140,000 tweets about marine plastic pollution found that public engagement peaked in response to high-profile events like media reports and plastic ban announcements, with most activity from non-expert users sharing alarming content, while scientific accounts generated less engagement, suggesting that science communication strategies need rethinking.