Text classification method and system based on label information and text characteristics and medium

Abstract

The invention discloses a text classification method and system based on label information and text characteristics and a medium, and the method comprises the steps: a characteristic extraction step:extracting a first text characteristic from a given text, and extracting a first label characteristic from a label corresponding to the given text; a feature fusion step: performing feature fusion onthe first text feature and the first tag feature to obtain a fused third feature; a model training step: inputting the fused third features into a multi-layer perceptron to train the multi-layer perceptron so as to obtain a trained multi-layer perceptron; text classification step, extracting a second text feature from the to-be-classified text, and extracting a second label feature from the labelcorresponding to the text to be classified, carrying out feature fusion on the second text feature and the second label feature to obtain a fused fourth feature, inputting the fused fourth feature into the trained multilayer perceptron for classification, and outputting a classification result.

Description

technical field [0001] The present disclosure relates to a text classification method, system and medium based on label information and text features. Background technique [0002] The statements in this section merely enhance the background related to the present disclosure and may not necessarily constitute prior art. [0003] Text classification should be the most common application in natural language processing, such as automatic article classification, automatic mail classification, spam recognition, user sentiment classification, etc., which have many applications in life. From the types of tasks, text can be roughly divided into multi-label text classification and multi-category text classification. Multi-label text classification means that the text to be classified belongs to multiple categories, while multi-category text classification means that the text to be classified belongs to only one category. Multi-label text classification has generally been more widel...

AI Technical Summary

Problems solved by technology

[0004] According to the inventor's understanding, there is a relatively prominent problem at present, which is that the accuracy rate is low when classifying questions in the community Q&A community. At this stage, each question in the community Q&A community has a different label, and it is impossible to d

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