Text data annotation method

Abstract

The invention discloses a text data annotation method. The method comprises the steps of text information extraction: determining a text search range, text annotation data and a text annotation standard; and text information segmentation and numbering: segmenting the text annotation data, and numbering the segmented data according to a segmentation sequence. According to the text data annotation method, text annotation data or data in a text search range are segmented before annotation, then the segmented text annotation data or data in the text search range are issued to different annotationplatforms for synchronous annotation, and finally annotated results are summarized, so that the text data annotation speed can be increased, the text data annotation time is shortened, and the pressure of the annotation platforms can be reduced. According to the invention, the text annotation data are divided, combined and then issued to different annotation platforms, and the data received by each annotation platform is incomplete, so that the risk of data leakage is reduced, and the security of text data annotation is improved.

Description

technical field [0001] The invention relates to the field of data management, in particular to a text data labeling method. Background technique [0002] With the rapid development of society and the continuous improvement of people's living standards, information has become an important part of various industries. When people design products, they usually check the text they designed, and the relevant content needs to be marked. In order to facilitate people Labeling text data, people have invented some text data labeling methods; [0003] The existing text data annotation methods have certain drawbacks in use. First, the existing text data annotation methods usually hand over the text to the relevant annotation platform to directly compare with all the data, and now the data in the database is becoming more and more Large, the time required for labeling is also constantly extending, and the requirements for labeling platform equipment are getting higher and higher if labe...

AI Technical Summary

Problems solved by technology

[0003] The existing text data labeling methods have certain disadvantages when used. First, the existing text data labeling methods usually hand over the text to the relevant labeling platform for direct comparison with all the data, and now the data in the database is getting more and more Large, the time required for labeling is also constantly extending, and the requirements for labeling platform equipment that cannot be marked in time are getting higher and higher. Secondly, all files are aggregated together, which is prone to file leakage and low security performance. Therefore, We propose a text data annotation method

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