Text classification method and device, computer equipment and storage medium

A text classification and computer program technology, applied in the computer field, can solve the problems of inability to meet fast response text classification modeling, huge classification requirements, etc., to improve the efficiency of text classification, improve the quality of training data, and reduce the cost of manual labeling.

Pending Publication Date: 2020-06-19
深圳市华云中盛科技股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This new technology helps create better models by combining tagged documents into one dataset that improves accuracy compared to previous methods while reducing effort required during annotation time. It also includes automatic generation of labels from original vectors beforehand followed by trainings on existing classifiers or neural networks. Overall, this innovations make it easier and more efficient than current techniques used previously.

Problems solved by technology

This patented technical problem addressed in this patents relates to improving the speed at which classifiers can be established during litigative decisions when dealing with complex legal documents like disputes between different parties involved. Current methods require significant amounts of annotated data from previous stages until later times, making it difficult to achieve fast responses without manually re-labelled data.

Method used

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  • Text classification method and device, computer equipment and storage medium
  • Text classification method and device, computer equipment and storage medium
  • Text classification method and device, computer equipment and storage medium

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Embodiment Construction

[0054] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0055] It should be understood that when used in this specification and the appended claims, the terms "comprising" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude one or Presence or addition of multiple other features, integers, steps, operations, elements, components and / or collections thereof.

[0056] It should also be understood that the terminology used

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Abstract

The invention relates to a text classification method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining to-be-classified text data, so as to obtain to-be-classified data; inputting the to-be-classified data into the target text classification model for classification to obtain a classification result; outputting the classification result to a terminal so as to display the classification result on the terminal; wherein the target text classification model is obtained by extracting a vector set from input text data, generating a label and then combining to form a training data set for training. According to the invention, the label is generated in a manner of automatically generating the label for the input text data; combining the generated label with an initial vector set; text data labels are corrected in an iterative mode, the initial text classification model is trained again, the training data quality is improved, the early-stage manual label labeling cost is reduced, and the requirement for a large amount of labeled data in a text classification task is quickly responded to, so that the text classification model is quickly established, and the text classification efficiency is improved.

Description

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Claims

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Application Information

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Owner 深圳市华云中盛科技股份有限公司
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