Public opinion polarity prediction method and device, computer device and storage medium

Abstract

The invention relates to a public opinion polarity prediction method and device, a computer device and a storage medium. The method comprises the steps of obtaining public opinion data; performing emotion feature information extraction on the to-be-analyzed data by the AC automaton based on the double-array dictionary tree to obtain feature data; performing polarity prediction on the feature datathrough a public opinion polarity prediction model to obtain a prediction result; output of the prediction result. According to the invention, the emotion dictionary is constructed through the storagestructure of the double-array dictionary tree. The IO read-write times of the disk and the occupied physical storage space are reduced, performing sentiment feature information extraction on the public opinion data in an sentiment dictionary by utilizing an AC automaton based on a double-array dictionary tree. Character comparison is converted into state transition, backtracking is completely notneeded when to-be-analyzed data is scanned, the problem of repeated backspacing scanning is avoided, polarity prediction is conducted on feature data through a public opinion polarity prediction model, and the efficiency and accuracy of public opinion polarity prediction analysis are effectively improved.

Description

technical field [0001] The present invention relates to an information processing method, and more specifically refers to a public opinion polarity prediction method, device, computer equipment and storage medium. Background technique [0002] With the rapid development of WeChat, Weibo and other applications, more and more netizens express their opinions through the Internet. The integration of network information and social information has an increasing impact on society, and even concerns the country's information security and long-term stability. Due to the huge amount of information on the Internet, it is impossible to rely on manual methods to process massive public opinion data. In order to obtain a comprehensive and complete overview of public opinion, it is necessary to rely on sentiment polarity analysis technology to automatically monitor and analyze public opinion information. [0003] The existing public opinion analysis application system generally adopts the ...

AI Technical Summary

Problems solved by technology

[0003] The existing public opinion analysis application system generally adopts the keyword analysis method, which is not only low in efficiency, but also low in accuracy

Based on the traditional Chinese word segmentation, the pattern matching needs to go back and scan the text multiple times, and the performance efficiency is relatively low; the existing public opinion analysis application system uses a rough statistical method to calculate the emotional polarity, due to the limitation of feature information and the influence of context , the accuracy rate is not high; the public opinion sentiment dictionary takes up a relatively large storage space, which brings performance loss

[0004] Therefore, it is necessary to design a new method to solve the problems of low speed of Chinese word segmentation, low polarity prediction accuracy, and large performance loss

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