Method for predicting social attention hotspots in network public opinion events based on group analysis

Abstract

The invention provides a method for predicting social attention hotspots in network public opinion events based on group analysis, which can predict the network public opinion events which may be developed into the social attention hotspots, provide decision support for processing the public opinion events, collect related data of the public opinion events, construct a public opinion event set, obtainpublic opinion event relation subgraphs and social attention indexes in different time windows, carry out graph representation learning on data in the public opinion event relation sub-graphs in different time windows through a graph embedding technology to obtain feature vectors of corresponding event relations, and enable the feature vectors of the event relations and corresponding social attention indexes to form a two-tuple, construct a time sequence prediction model based on a bidirectional long-short-term memory neural network, input the two-tuples into the model for training iteration until the model converges, input new public opinion events into the model to obtain social attention indexes of the new public opinion events in future time, and select the public opinion event with the maximum social attention index as a predicted social attention hotspot.

Description

technical field [0001] The invention relates to the technical fields of network public opinion analysis, data mining and deep learning, and in particular to a method, device and computer storage medium for predicting hot spots of social concern in network public opinion events based on group analysis. Background technique [0002] Internet public opinion is a mapping of social public opinion on the Internet, which can reflect the extent of social issues that are generally concerned by the masses in the current society, such as emergencies, judicial issues, economic issues, etc., and can be more effectively specified through the analysis of Internet public opinion Solutions to social problems. According to the current definition of social attention, the social attention of Internet public opinion events refers to people's attention to the occurrence, development and aftermath of social events reported on the Internet. It will develop into an online public opinion event that ...

AI Technical Summary

Problems solved by technology

[0004] However, the existing research usually does not consider the association analysis of multi-source data. The analysis of event semantics is mainly aimed at the development process of the event. After analysis and research, it is found that the group characteristics behind the expansion of the event are one of the incentives that drive the growth of social attention to the public opinion event. First, how to establish a connection between the key features of the group and the semantic development of the event, and the extraction of key features plays an important role in the degree of social attention. Therefore, the present invention aims to provide a method of social attention hotspots in network public opinion events based on group analysis. Predictive methods to solve existing problems

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