Exploring Wetland Health Evaluation Indicators Based on Text Mining Technology


Sheng Miao, Guoqing Ni, Lan Chen, Ruolan Mu, Yansu Qi, Chao Liu, Journal of Information Processing Systems Vol. 20, No. 5, pp. 696-708, Oct. 2024  

https://doi.org/10.3745/JIPS.04.0322
Keywords: Agglomeration and Hierarchical Clustering, Natural Language Processing, Text Mining, Wetland Evaluation
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Abstract

Wetlands are one of the important ecosystems on Earth, with necessary functions such as regulating climate, providing water, purifying water quality, and protecting biodiversity. At present, wetland health assessment has become a major direction in wetland research, and optimizing wetland assessment is of great significance for global sustainable development. However, most wetland assessments do not have agreed upon indicators and standards. In recent years, many achievements have been made in wetland health research. Therefore, the aim of this study is to use data mining techniques to explore and evaluate the main factors in relation to wetlands. This article uses 100 wetland health papers on Web of Science as the corpus, proposes an indicator extraction method based on natural language processing and text mining technology, explores the interrelationships between the extracted indicators, establishes a wetland indicator evaluation system to evaluate the wetland health status, and explores new ideas for wetland health evaluation.


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Cite this article
[APA Style]
Miao, S., Ni, G., Chen, L., Mu, R., Qi, Y., & Liu, C. (2024). Exploring Wetland Health Evaluation Indicators Based on Text Mining Technology. Journal of Information Processing Systems, 20(5), 696-708. DOI: 10.3745/JIPS.04.0322.

[IEEE Style]
S. Miao, G. Ni, L. Chen, R. Mu, Y. Qi, C. Liu, "Exploring Wetland Health Evaluation Indicators Based on Text Mining Technology," Journal of Information Processing Systems, vol. 20, no. 5, pp. 696-708, 2024. DOI: 10.3745/JIPS.04.0322.

[ACM Style]
Sheng Miao, Guoqing Ni, Lan Chen, Ruolan Mu, Yansu Qi, and Chao Liu. 2024. Exploring Wetland Health Evaluation Indicators Based on Text Mining Technology. Journal of Information Processing Systems, 20, 5, (2024), 696-708. DOI: 10.3745/JIPS.04.0322.