Analysis of topic model networks for certain kind of english news

By combining the topic model with network analysis, multiple topics contained in news text are analyzed by topic modeling, and then the topics are placed in a network structure, where topics are nodes and the relationships (edges) between topics are calculated by their co-occurrence degree in the document, and finally, the topics with high similarity are clustered by community detection technology to obtain macro topics with high generality. (The program code and the result list of analysis are needed.)