Text analysis method, device, and storage medium

Abstract

The application discloses a text analysis method, device and storage medium, and relates to the technical field of data processing. The text analysis method comprises the following steps: in response to input text, processing the input text based on a first model to obtain a first analysis result, wherein the first model comprises a reward module, a penalty module and a compensation module; processing the input text based on a second model to obtain a second analysis result, wherein the second model comprises a preset number of expression factor dimensions; fusing the first analysis result and the second analysis result to generate a fusion vector of the input text; and compressing the fusion vector to a set probability interval by a double-path compression method of a prediction upper bound and a compression lower bound to obtain a text evaluation value. The application can improve the training efficiency of a model.

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