A Study on Benchmark Management of Ecological Civilization Construction Based on Big Data Analysis

Demonstration with Typical Examples is an important strategic task in the construction of ecological civilization in China. The key is how to choose the appropriate "benchmark" for the construction goals of different ecological civilizations. Obviously, the "benchmark" has an important application value for the demonstration and construction of ecological civilization. Aiming at the current situation that there are few research results on the application of benchmarking management to the construction of ecological civilization and the system is not yet mature, a research method for text cases based on big data analysis technology is proposed. Firstly, the classification was carried out with K-mean clustering method, and then the benchmark cases under different classes were screened with the sentiment analysis technology based on the TF-IDF algorithm, and finally the learning path of the benchmarking cases was extracted by social network analysis technology. In this study, it is found that the big data analysis method can improve the accuracy and rationality of benchmark selection and improve the evaluation efficiency of the performance of ecological civilization construction.