| 摘要 |
A system, method, or computer program product for translating non-quantitative, text-based data into a quantitative risk management tool(s) including: receiving, by a computer processor(s), non-quantitative data relating to cross-border public policy; receiving, by the processor(s), at least one tag relating to said non-quantitative data; storing, by the processor(s), said non-quantitative data and said at least one tag in a database; and providing, by the processor(s), quantitative risk management tools designed to provide customized, automatic daily graphical illustrations of policy activity levels on a cross-border basis using concepts and other meta-tagging tools to generate graphs. Tools may mining data to extract quantitative and graphical information from stored, tagged non-quantitative data and may semantically search those documents as well as assess correlations and covariances of cross-border policy processes, and deliver quantitative and/or graphical output results. |
| 主权项 |
1. A computer-implemented method comprising:
translating official sector action non-quantitative text-based data into at least one quantitative risk management tool that electronically anticipates at least one trajectory of at least one official sector cross-border public policy data comprising: receiving electronically, by at least one computer processor, said official sector action non-quantitative text-based data relating to the at least one official sector cross-border public policy data; receiving electronically, by the at least one computer processor, at least one tag or code relating to said official sector action non quantitative text-based data, comprising:
tagging at least one concept electronically, by the at least one computer processor, of said at least one official sector action activity of the at least one official sector cross-border public policy data, based on:
identifying electronically, by the at least one computer processor, occurrence of a group of words appearing together indicative of a specific concept in said at least one official sector action activity; associating electronically, by the at least one computer processor, said official sector action non-quantitative text-based data with said at least one tag or code, and storing in an electronic computer database; processing electronically, by the at least one computer processor, an algorithmic calculation to obtain the at least one anticipated official sector cross-border public policy data, wherein said algorithmic calculation comprises:
linking electronically, by the at least one computer processor, the at least one anticipated official sector cross-border public policy data with said official sector action non-quantitative text-based data and said electronic database;enabling electronically, by the at least one computer processor, a semantic search of said electronic database;extracting electronically, by the at least one computer processor, quantitative data of at least one official sector action activity of the at least one official sector cross-border public policy data from said electronic database, wherein said extracting electronically said quantitative data of said at least one official sector action activity of the at least one official sector cross-border public policy data comprises:
identifying electronically, by the at least one computer processor, correlations or covariances between a plurality of said at least one official sector action activity of said at least one official sector cross-border public policy data;receiving electronically, by the at least one computer processor, said at least one tag or code, and said at least one concept;weighting electronically, by the at least one computer processor, said quantitative data of said at least one official sector action activity of the at least one official sector cross-border public policy data, based on:
said at least one tag or code, and said at least one concept;a proximity of said at least one official sector action activity to a decision point; anda relative importance of an activity level of said at least one official sector action activity; and anticipating electronically, by the at least one computer processor, the at least one trajectory of the at least one official sector cross-border public policy data of said at least one official sector cross-border public policy based on: said at least one tag or code, and said at least one concept; said identifying electronically of said correlations or covariances, and said weighting electronically based on:
said proximity to the deadline, andsaid relative importance of said activity level; and generating, by the at least one computer processor, at least one graphical representation of said quantitative data and the anticipated at least one trajectory of the at least one official sector cross-border public policy. |
