Exploring Wetland Health Evaluation Indicators Based on Text Mining Technology

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.