Keyword-based text marking method and system and storage medium

A tagging method and keyword technology, which are applied in the fields of unstructured text data retrieval, text database clustering/classification, special data processing applications, etc., can solve the problems of complex text tagging steps, lack of interpretability, etc. Efficiency, the effect of improving interpretability

Active Publication Date: 2021-10-22
杭州费尔斯通科技有限公司
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AI Technical Summary

Problems solved by technology

[0007] The embodiment of the present application provides a keyword-based text tagging method and system computer-readable storage medium to at least solve the problem of complex text tagging steps and lack of interpretability in the related art

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  • Keyword-based text marking method and system and storage medium
  • Keyword-based text marking method and system and storage medium
  • Keyword-based text marking method and system and storage medium

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Embodiment Construction

[0045] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be described and illustrated below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application. Based on the embodiments provided in the present application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0046] Obviously, the accompanying drawings in the following description are only some examples or embodiments of the present application, and those skilled in the art can also apply the present application to other similar scenarios. In addition, it can also be understood that although such development efforts may be complex and lengthy, for those of ...

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Abstract

The invention relates to a keyword-based text marking method, and the method comprises the steps: obtaining training data which comprises a text, a tag and a keyword related to the tag; performing word list representation on the text and the keyword to obtain a text word list and a keyword word list, and connecting the keyword word list to a tag to obtain a first sentence; taking the text word list as a second sentence, and performing fine tuning training of the BERT model based on the first sentence and the second sentence to obtain a trained text marking model; and receiving a to-be-marked text, outputting predicted marking information of the to-be-marked text through the text marking model, and marking the to-be-marked text according to the predicted marking information. According to the method and the system, the problems of complicated steps and lack of interpretability in a related text marking method are solved, and the marking efficiency and the marking effect are improved.

Description

technical field [0001] The present application relates to the field of natural language processing, in particular to a keyword-based text marking method, system and computer-readable storage medium. Background technique [0002] The text labeling task is to judge whether the text can be marked by one or more labels in the label set based on a fixed label set. Different from text classification tasks, the labels of text labeling tasks are independent of each other, and a text can be marked as multiple labels at the same time. [0003] In related technologies, the commonly used method of text labeling is to use the BERT (Bidirectional Encoder Representations from Transformer, Transformer-based bidirectional encoder characterization) model to input text and tags into the model for judgment. If the model output is 0, it means that the text and This label is not relevant, if the output result is 1, it means relevant. However, the following problems exist in this method: [000...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/117G06F16/35G06N20/00
CPCG06F40/117G06F16/35G06N20/00
Inventor 赵鹏阳杨红飞
Owner 杭州费尔斯通科技有限公司
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