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Text data labeling method and device, electronic equipment and storage medium

A text data and text technology, applied in the field of artificial intelligence, can solve problems such as wrong labeling, and achieve the effect of ensuring accuracy and comprehensiveness

Active Publication Date: 2022-04-15
北京创新乐知网络技术有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The accuracy of these annotation methods for text data annotation results is getting higher and higher, but there are still some obvious errors in the annotation of some text data.

Method used

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  • Text data labeling method and device, electronic equipment and storage medium
  • Text data labeling method and device, electronic equipment and storage medium
  • Text data labeling method and device, electronic equipment and storage medium

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Embodiment Construction

[0047] 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 only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0048] In one embodiment, such as figure 1 As shown, a text data labeling method is provided, and the application of the method to electronic equipment is used as an example for illustration. The method includes:

[0049] Step 102, acquiring text data to be labeled.

[0050]In this embodiment, the text data to be marked includes a text type and a text title. The text data to be labeled is the text data that needs to be tagged, and there can be one or more tags t...

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Abstract

The invention discloses a text data labeling method and device, electronic equipment and a storage medium, and the method comprises the steps: generating a first candidate label of text data through a label prediction model, and generating a second candidate label for a text title of the text data through a word vector model, and then calculating the relevancy of the first candidate tag and the second candidate tag relative to the text data, and extracting the candidate tag of which the relevancy exceeds a corresponding relevancy threshold as machine labeling data of the text data. According to the method, the accuracy and comprehensiveness of text data annotation can be improved.

Description

technical field [0001] The present application belongs to the technical field of artificial intelligence, and specifically relates to a text data labeling method, device, electronic equipment and storage medium. Background technique [0002] Usually, on some text information exchange platforms, there will be a large amount of text data of creative content such as blog posts, questions and answers, etc. In order to facilitate user navigation, retrieval and classification, the creative content under the platform will be tagged. [0003] For the labeling processing of text data, algorithms such as artificial intelligence or machine learning are generally used for intelligent labeling, such as TextCNN model, BERT model, etc. for automatic labeling of text data. The accuracy of these annotation methods for text data annotation results is getting higher and higher, but there are still some obvious errors in the annotation of some text data. Therefore, the labeling method for text...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/258G06F40/279G06F16/35G06N3/08
Inventor 陈龙范飞龙
Owner 北京创新乐知网络技术有限公司