A text segmentation method, device and equipment based on deep learning and a medium
By using a deep learning-based pre-trained model to identify adjacent text segments with different topics in text segmentation, this approach solves the problem of balancing speed and accuracy in existing technologies, achieving fast and highly accurate text segmentation.
CN117011854BActive Publication Date: 2026-05-26SHENZHEN IPANEL TECH LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHENZHEN IPANEL TECH LTD
- Filing Date
- 2023-09-14
- Publication Date
- 2026-05-26
Smart Images
Figure CN117011854B_ABST
Abstract
This application discloses a deep learning-based text segmentation method, apparatus, device, and medium, relating to the field of deep learning technology. The method includes: acquiring the text to be segmented; inputting the text to be segmented into a pre-trained model to obtain target sentence data in the text to be segmented, wherein the target sentence data is the sentence that divides a first text portion and a second text portion, and the first text portion and the second text portion are two adjacent text portions with different topics in the text to be segmented; and performing text segmentation based on the target sentence data. Thus, the pre-trained model can accurately and quickly select the target sentence data that divides the text portions in the text to be segmented, improving both the speed and accuracy of text segmentation.
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