Content understanding method and device, readable medium, electronic equipment and program product
Through the large language model, the content is semantic understanding and semantic generalization is solved, and the problem that word frequency characteristics in the prior art cannot accurately express attribute information is achieved, achieving more efficient and accurate object analysis.
CN120353919APending Publication Date: 2025-07-22BEIJING YOUZHUJU NETWORK TECH CO LTD
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Patent Information
- Application Number
- CN202510489120.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-17
- Publication Date
- 2025-07-22
AI Technical Summary
Technical Problem
In the prior art, vocabulary extracted based on word frequency features cannot accurately express the attribute information of the content-related object, which affects the efficiency and accuracy of object analysis.
Method used
The content is semanticly understood through a large language model, and attribute words that meet the preset attribute definition are extracted based on the preset attribute definition, and semantic summary is performed to obtain the target attribute word.
Benefits of technology
It improves the comprehensiveness and accuracy of content understanding, reduces the complexity of attribute words, and improves the efficiency and accuracy of object analysis.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention discloses a content understanding method and device, a readable medium, electronic equipment and a program product. The content understanding method comprises the following steps: acquiring first content associated with a first object; the first content is processed through a large language model, a target attribute word used for describing the first object is obtained, and the large language model is used for obtaining the target attribute word through the following processing steps that semantic understanding is conducted on the first content according to a preset attribute definition associated with the first object, and the target attribute word is obtained; obtaining a first attribute word conforming to the preset attribute definition; and performing semantic summarization based on the first attribute word to obtain the target attribute word. The content is subjected to semantic understanding in combination with the preset attribute definition, the comprehensiveness and accuracy of content understanding can be improved, it is guaranteed that the extracted first attribute word can accurately represent the attribute information of the first object, then semantic summarization is conducted on the attribute word, the complexity of the attribute word can be reduced, and the accuracy of attribute word extraction is improved.
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