Information Extraction from Unstructured Data on Microplastic through Text Mining

Information Extraction from Unstructured Data on Microplastic through Text Mining

Objectives: In this study, we seek to provide a thorough insight into how people perceive them and uncover issues and hidden trends about the significant microplastic pollution problems by analyzing unstructured data on microplastics. Methods: Environmental news articles related to microplastics wer...

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Bibliographic Details
Main Authors: Wuseong Jeong, JungJin Kim, Hanseok Jeong
Format: Article
Language:English
Published: Korean Society of Environmental Engineers 2023-01-01
Series:대한환경공학회지
Subjects:
microplastics
text mining
unstructured data
information extraction
Online Access:http://doi.org/10.4491/KSEE.2023.45.1.34

Internet

http://doi.org/10.4491/KSEE.2023.45.1.34

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