Event chain-based Network public opinion association deduction prediction analysis method

Abstract

The invention discloses an event chain-based network public opinion association deduction prediction analysis method, which comprises the following steps: extracting related node events from microblog article text data according to event development, and forming a theme evolution tree and a public opinion evolution probability graph through clustering association and mode mining matching prediction, wherein corpora of a microblog training set are pre-trained through an ELMO model, and microblog articles are vectorized; combining the similar microblog data through a One-Pass clustering algorithm to obtain a node event set; performing few-label data learning through ActiveLearning, and the label quality is improved through man-machine interaction; and discovering a transfer logarithm between tags through Seq2Pat, and further constructing a Markov chain, forming a topic tree and predicting a node event evolution trend. According to the invention, extraction, association and prediction of sub-events in complex public opinion events are made up, a man-machine interaction label method with expert intervention is fully considered, and the invention is suitable for public opinion deduction analysis positioning and accurate prediction.

Description

technical field [0001] The invention relates to the technical field of book recommendation systems, in particular to an event chain-based network public opinion association deduction prediction analysis method. Background technique [0002] Microblog public opinion is a new form of Internet public opinion, and has become an uncertain factor affecting national security and social stability. It is of practical significance to study the changes of microblog discussion content of online public opinion emergencies and to mine the evolution law of public opinion in the process of event development, which is of practical significance for assisting the guidance of network public opinion and predicting the macroscopic development direction of similar events. However, how to effectively organize mass public opinion information has been a research hotspot in recent years. Traditional network public opinion analysis often only focuses on the content evolution of the overall public opin...

AI Technical Summary

Problems solved by technology

But the key is to extract which events are the most important, whether there is an evolutionary relationship between the events, and what method can be used to predict the trend of similar Internet public opinion. Traditional evolution research has not done an in-depth answer

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