System to determine a credibility weighting for electronic records

A computer-implemented method for determining a credibility weighting associated with electronic records, comprising:

• aggregating and mapping, by a text mining platform processor, received text input data to create composite text input data for the electronic records;
• automatically detecting, by the text mining platform processor, a semantic event in the composite text input data triggered by a semantic rule;
• updating, by the text mining platform processor, a text mining result database, responsive to said detection, by adding an entry to the database identifying the detected semantic event;
• transmitting, by the text mining platform processor, an indication associated with the event based on data in the text mining result database;
• establishing, by a back-end application computer processor, a hierarchy for multiple elements of the electronic records;
• determining, by the back-end application computer processor, a weight variable and response variable for each element in the established hierarchy;
• applying, by the back-end application computer processor, a hierarchical credibility weighting methodology to the elements of the electronic records from level 1, representing the least granular level in the hierarchy, to level n, representing the most granular level in the hierarchy, calculated recursively from level n, to determine a final estimated credibility for the electronic records based on the weight variable and response variable, wherein ωi represents a weight for level i, Xi represents an observed experience for level i, K represents a credibility factor, and the credibility for level i is calculated as:
• Z
• i
• =
• ω
• i
• ω
• i
• +
• K
• ;
• and
• outputting, from the back-end application computer processor, an indication of the final estimated credibility for the electronic records.

A system for determining a credibility weighting associated with electronic records, comprising:

• a text mining platform, including:
• a text mining communication device to receive text input data associated with the electronic records;
• a text mining processor coupled to the text mining communication device;
• and
• a text mining storage device in communication with said text mining processor and storing instructions adapted to be executed by said text mining processor to:
• (i) aggregate and map the received text input data to create composite text input data,
• (ii) automatically detect a semantic event in the composite text input data, and
• (iii) transmit an indication associated with the event based on data in the text mining result database;
• and
• a back-end application computer server coupled to the text mining platform, including:
• a back-end communication device to receive the indication for the electronic record transmitted by the text mining platform;
• a back-end processor coupled to the back-end communication device;
• and
• a back-end storage device in communication with said back-end processor and storing instructions adapted to be executed by said back-end processor to:
• (i) establish a hierarchy for multiple elements of the electronic records,
• (ii) determine a weight variable and response variable for each element in the established hierarchy,
• (iii) apply a hierarchical credibility weighting methodology to the elements of the electronic records from level 1, representing the least granular level in the hierarchy, to level n, representing the most granular level in the hierarchy, calculated recursively from level n, to determine a final estimated credibility for the electronic records based on the weight variable and response variable, wherein ωi represents a weight for level i, Xi represents an observed experience for level i, K represents a credibility factor, and the credibility for level i is calculated as:
• Z
• i
• =
• ω
• i
• ω
• i
• +
• K
• ,
• (iv) receive from a user of a web browser credibility weighting tool an indication of a geographic region, and
• (v) responsive to the received indication of the geographic region, graphically display a map-based presentation of the credibility information for the electronic records.