An Identification Model of Water Army Based on Data Analysis
Jianhua Dai, Xinyang Wang · Journal of Physics Conference Series · 2018
The water army creates a lot of inaccurate and misleading information on Weibo which has greatly undermined the users experience. It is necessary to use machine learning model to identify and exclude water army accounts. In this paper, we analyzed the data of water army and their behavior. We created some indices for the identification model, and used the web crawler to get the data of water army. In the end, we used support vector machine and k-means to build the model by the R software. Compared with the earlier models, the model achieves better identification results.