Emotion category prediction method and device, storage medium and electronic equipment

Abstract

The present application discloses an emotion category prediction method and device, a storage medium and electronic equipment, which can be applied to vehicle-mounted scenarios. The method includes: acquiring a set of first feature vectors and a set of second feature vectors, a set of first feature vectors including feature vectors obtained by encoding each first element unit in a set of first element units, a A set of first element units includes each first element unit in the target text, a set of second feature vectors includes a feature vector obtained by encoding each second element unit in a set of second element units, and a set of second feature vectors The two-element unit includes the second element unit obtained by word segmentation of the target text; according to the inclusion relationship between a group of second element units and a group of first element units, a group of first feature vectors and a group of second feature vectors Perform feature vector fusion to obtain a set of fused feature vectors; input a set of fused feature vectors into the target prediction model to obtain predicted emotional categories.

Description

technical field [0001] The present application relates to the computer field, and in particular, relates to an emotion category prediction method and device, storage medium and electronic equipment. Background technique [0002] The self-media platform can display the media information (such as articles, videos, etc.) produced by users in the form of information flow. While consuming media information, users can interact with these media information through behaviors such as comments, likes, reposts, and collections. [0003] Due to the low threshold for users to publish content, any user can publish media information at any time if the requirements are met, which will lead to uneven quality of media information produced by users, and the production of low-quality content (that is, low-quality media information) and behaviors that seriously affect the platform ecology. A prediction model capable of predicting emotion type may be used to predict the emotion category of the ...

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides an emotion category prediction method and device, storage medium, and electronic equipment, to at least solve the problem of the accuracy of emotion category prediction caused by the high uncertainty of word meaning in the emotion category prediction method in the related art low problem

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