User behavior prediction method and device, storage medium and terminal equipment

Abstract

The invention relates to the technical field of information processing, in particular to a user behavior prediction method and device, a computer readable storage medium and terminal equipment. The user behavior prediction method provided by the invention comprises the following steps: acquiring voice evaluation information of evaluating a target service by a user, and converting the voice evaluation information into corresponding text information; analyzing the text information, and determining an evaluation object of the user for evaluating the target business and an evaluation result corresponding to the evaluation object; extracting a voice segment corresponding to the evaluation result in the voice evaluation information; carrying out voice analysis on the voice segment to obtain an emotion tag and a tone tag corresponding to the evaluation result; and according to the emotion tag, the mood tag, the evaluation object and the evaluation result, predicting the behavior of the user so as to comprehensively and accurately predict the user behavior by comprehensively analyzing the emotion, the mood, the evaluation object and the evaluation content, thereby avoiding the prediction error of the user behavior and improving the prediction accuracy of the user behavior.

Description

technical field [0001] The present invention relates to the technical field of information processing, and in particular to a user behavior prediction method, a prediction device, a computer-readable storage medium, and a terminal device. Background technique [0002] In various industries, there are many cases of user loss due to poor service satisfaction and other reasons. Therefore, effective analysis of the reasons for user loss to reduce or avoid user loss has become the key to the development of various enterprises. The existing user churn analysis method basically predicts user behavior by determining the matching between user behavior data and behavior indicators, that is, only predicts whether a user is a potential churn user based on the matching with behavior indicators, and when the behavior indicators When the setting is unreasonable, this method of predicting user behavior based only on the matching between user behavior data and behavior indicators is very lik...

AI Technical Summary

Problems solved by technology

The existing user churn analysis method basically predicts user behavior by determining the matching between user behavior data and behavior indicators, that is, only predicts whether a user is a potential churn user based on the matching with behavior indicators, and when the behavior indicators When the settings are unreasonable, this method of predicting user behavior based only on the matching between user behavior data and behavior indicators is very likely to cause errors in user behavior prediction, which greatly reduces the accuracy of user behavior prediction

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