Research on Automatic Detection and Summarization Algorithm of Microblog News Communication Events Based on Heterogeneous Network

In order to improve the prediction and topic awareness of news communication events in Microblog, an automatic detection and summarization algorithm of news communication events in Microblog based on heterogeneous network is proposed. The heat perception model of news events in Microblog was constructed by using the grid detection method involving Microblog opinion leaders, and the features of news events in Microblog were classified and extracted by combining the dynamic coefficient multiple linear regression distribution method. According to the word frequency statistics, the contents of hot topics were learned, and a large number of keywords in Microblog were extracted. The keywords were clustered by heterogeneous networks, and the feature quantities of the abstract description topics of Microblog events reflected by keywords were extracted. According to the propagation characteristics of hot topics, the semantic index fuzzy classification detection is carried out, and the similarity of Microblog texts and Microblog fever are calculated. The Single-Pass algorithm can extract the required topics from the opinion leader's Microblog, and automatically detect and abstract Microblog news communication events according to the extracted topics. The simulation results show that the automatic detection and abstract extraction of news communication events in Microblog are realized by this method, and the hot topic recognition rate is high, and it can automatically learn and adjust with the update of data stream, and at the same time, it can realize real-time detection of sudden topics.