Cheng, Z.; Wang, N.; Zhao, Y.; Cheng, L.; Song, T.
Water Policy Evaluation Based on the Multi-Source Data-Driven Text Mining: A Case Study of the Strictest Water Resource Management Policy in China. Water 2022, 14, 3694.
https://doi.org/10.3390/w14223694
AMA Style
Cheng Z, Wang N, Zhao Y, Cheng L, Song T.
Water Policy Evaluation Based on the Multi-Source Data-Driven Text Mining: A Case Study of the Strictest Water Resource Management Policy in China. Water. 2022; 14(22):3694.
https://doi.org/10.3390/w14223694
Chicago/Turabian Style
Cheng, Zhe, Nina Wang, Yuntong Zhao, Le Cheng, and Tao Song.
2022. "Water Policy Evaluation Based on the Multi-Source Data-Driven Text Mining: A Case Study of the Strictest Water Resource Management Policy in China" Water 14, no. 22: 3694.
https://doi.org/10.3390/w14223694
APA Style
Cheng, Z., Wang, N., Zhao, Y., Cheng, L., & Song, T.
(2022). Water Policy Evaluation Based on the Multi-Source Data-Driven Text Mining: A Case Study of the Strictest Water Resource Management Policy in China. Water, 14(22), 3694.
https://doi.org/10.3390/w14223694