Public opinion information classification method and device, computer device and storage medium

Abstract

The invention relates to a public opinion information classification method and device, a computer device and a storage medium. The method comprises the steps that a classification model is established, wherein the classification model includes word vector models and multiple layers of cyclic neural networks; public opinion information is acquired, wherein the public opinion information includes multiple sentences; training of the word vector models is utilized to obtain sentence vectors corresponding to the multiple sentences, and the sentence vectors corresponding to the multiple sentences are utilized to generate weight matrixes; codes corresponding to the multiple sentences respectively are acquired, and the codes of the multiple sentences are input to the multiple layers of trained cyclic neural networks; based on the codes of the multiple sentences and the weight matrixes, calculation is performed through the multiple layers of trained cyclic neural networks, and categories of the multiple sentences are output; according to the categories of the multiple sentences, the categories corresponding to the public opinion information are determined. By adopting the method, a large amount of public opinion information can be effectively classified.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a public opinion information classification method, device, computer equipment and storage medium. Background technique [0002] With the development of Internet technology, people can keep abreast of hot events. Usually hot events will generate a large amount of public opinion information, and the analysis of public opinion information can clarify the development trend of hot events. Public opinion information may be of various kinds, for example, microblogs, comments, and the like. Before analyzing public opinion information, it needs to be properly classified. Usually the content of public opinion information is short and the text length is different. Traditional semantic expression models are difficult to classify them effectively. Therefore, how to effectively classify a large amount of public opinion information has become a technical problem that needs to b...

AI Technical Summary

Problems solved by technology

It is difficult for traditional semantic

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