Text classification method and device, electronic equipment and readable storage medium

Abstract

The invention relates to the field of semantic analysis, and discloses a text classification method, which comprises the following steps of: performing category label marking on each text in a text set to obtain a target label set of the text set; performing text splicing processing on the text set and the target label set to obtain a sample sequence set; performing iterative training based on neural feature fusion extraction on a pre-constructed text classification model by using the sample sequence set until the text classification model converges, and obtaining a trained text classification model; and when a to-be-classified text is received, carrying out word segmentation and label splicing on the to-be-classified text to obtain a to-be-classified text sequence, and classifying the to-be-classified text sequence by utilizing the trained text classification model to obtain a classification result. The invention also relates to blockchain technology, and the text set can be stored in a blockchain node. The invention further provides a text classification device, electronic equipment and a storage medium. According to the method, the accuracy of text classification can be improved.

Description

technical field [0001] The invention relates to the field of semantic analysis, in particular to a text classification method, device, electronic equipment and a readable storage medium. Background technique [0002] With the development of artificial intelligence, the field of natural language processing has become an important part of artificial intelligence, and text classification, as a basic technology in the field of natural language processing, has therefore attracted people's attention. [0003] However, the current text classification relies on models for text classification. In the process of model classification, only the simple feature fusion between words is considered, and the feature extraction is not comprehensive, resulting in low accuracy of text classification. Contents of the invention [0004] The present invention provides a text classification method, device, electronic equipment and computer-readable storage medium, the main purpose of which is to i...

AI Technical Summary

Problems solved by technology

[0003] However, the current text classification relies on models for text classification. In the process of model classification, only the simple feature fusion between words is considered, and the feature extraction is not comprehensive, resulting in low accuracy of text classification.

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