一种基于LLM模型的文本分析方法、装置、介质及设备
By using a text analysis method based on the LLM model to generate a knowledge graph and enable multi-agent collaborative execution, the problem of low efficiency in the transformation of scientific and technological achievements is solved, automated analysis and planning are realized, and the transformation efficiency and reliability of results are improved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING SHOUFA INTELLIGENT TECHNOLOGY CO LTD
- Filing Date
- 2025-08-13
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies suffer from problems in the commercialization of scientific and technological achievements, such as low efficiency, reliance on manual operation, limited functionality of AI-assisted tools, low efficiency of multi-agent collaboration, and poor data quality in industry knowledge bases. These issues result in long commercialization cycles, high costs, and inaccurate matching.
We employ an LLM-based text analysis method to generate a knowledge graph from the target text, decompose the task set and perform multi-agent collaborative execution, and combine it with a deeply regulated knowledge base for semantic understanding and task planning to optimize task allocation and execution.
It enables automated analysis and planning of scientific and technological achievements, shortens the transformation cycle, improves efficiency, reduces the need for manual intervention, enhances the data relevance and real-time nature of the knowledge base, and ensures the high reliability and relevance of the output results.
Smart Images
Figure CN120929610B_ABST