Optimal transmission method based on structural tree logic and semantic hybrid constraint
By performing logical format parsing and optimal transmission analysis on ESG reports, the problem of inaccurate enterprise ESG report assessments in existing technologies has been solved. This enables the deep semantic logic utilization of social media comments and ESG reports, improving assessment accuracy and verification efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- 湖南工商大学
- Filing Date
- 2026-06-11
- Publication Date
- 2026-07-17
AI Technical Summary
Existing methods for verifying corporate ESG reports rely on manual auditing and shallow feature engineering, making it difficult to effectively utilize the deep semantic logic between social media comments and ESG reports, resulting in inaccurate long-term corporate valuations.
By parsing the logical format of ESG reports and constructing a chapter structure tree, the logical paths of fact nodes and comments are obtained. Optimal transmission analysis is then performed using semantic and logical distances to determine the report-comment mapping information. Combined with entropy regularization and asymmetric constraints, the accuracy of the assessment is improved.
It enables the effective use of online comments and ESG reports, improves the accuracy and efficiency of long-term corporate value assessment, reduces human intervention and noise interference, and provides fine-grained risk assessment support.
Smart Images
Figure CN122414331A_ABST