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Making waves: Topic modeling discovers trending topics in global research on the ecosystem impacts of microplastics

Zenodo (CERN European Organization for Nuclear Research) 2023 Score: 30 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Kailin Gong, Wei Zhang, Shuangqing Hu, Peng Cheng, Jiaqi Tan

Summary

This is the methodology file for a topic modeling study that used machine learning to analyze trends in global microplastics research. The study identified emerging research themes in the scientific literature on microplastic impacts on ecosystems.

This is the method file for Making waves: Topic modeling discovers trending topics in global research on the ecosystem impacts of microplastics. It introduces the research methods and reliability we used in the main text.

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