Cross Dataset Keyword Rating System

• US 20160048781A1
• Filed: 08/13/2014
• Published: 02/18/2016
• Est. Priority Date: 08/13/2014
• Status: Abandoned Application

• Current Assignee: Bank of America Corp.
• Original Assignee: Bank of America Corp.
• Inventors: Kern, Daniel C., Maher, Pasha M.
• Application Number:
  US14/459,090
• Publication Number:
  US 20160048781A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G06Q 10/0635 Risk analysis of enterprise or organisation activities

Abstract

A system may include an interface, a memory, and one or more processors. The system receives a request to determine a significance of a first keyword and accesses a first record comprising the first keyword. The system determines a first risk score of the first record and assigns the first risk score of the first record as a first keyword instance score associated with the first keyword. The system determines the significance of the first keyword based at least in part upon the first keyword instance score. The system analyzes the significance of the first keyword.

Claims

1. A keyword analysis system, comprising:

a memory operable to store a plurality of records, wherein the plurality of records comprises a first record;

an interface operable to;

receive a request to determine a significance of a first keyword;

access the first record comprising the first keyword;

one or more processors communicatively coupled to the interface and the memory and operable to;

determine a first risk score of the first record;

assign the first risk score of the first record as a first keyword instance score associated with the first keyword;

determine the significance of the first keyword based at least in part upon the first keyword instance score; and

analyze the significance of the first keyword.

2. The system of claim 1, wherein determining the first risk score of the first record comprises:

determining, using the processor, a risk rating of a dataset associated with the first record, the risk rating associated with a risk rating score; and

based at least in part upon the risk rating and the risk rating score, determining the first risk score of the first record.

3. The system of claim 1, wherein analyzing the significance of the keyword comprises:

determining, using the processor, a plurality of keyword instance scores associated with the first keyword, the plurality of keyword instance scores being determined from a plurality of records comprising the first keyword;

determining, using the processor, a distribution of the plurality of keyword instance scores; and

communicating information for display related to the distribution of the plurality of keyword instances scores.

4. The system of claim 1, wherein analyzing the significance of the first keyword comprises:

determining a frequency of the first keyword in a plurality of records comprising the first keyword;

generating a tree map based at least upon the frequency of the first keyword and the significance of the first keyword; and

communicating information related to the tree map for display.

5. The system of claim 1, wherein analyzing the significance of the first keyword comprises:

determining a second significance of the first keyword at a second time; and

comparing the significance of the first keyword to the second significance of the first keyword at the second time; and

communicating information for display related to the comparison of the significance and the second significance.

6. The system of claim 1, the one or more processors further operable to:

determine a second keyword that appears in the first record;

access a second record comprising the second keyword;

determine a second risk score of the second record;

assign the second risk score of the second record as a second keyword instance score associated with the second keyword;

determine a significance of the second keyword based at least in part upon the second keyword instance score;

determine a second risk score of the first record based at least in part upon the significance of the first keyword and a significance of the second keyword; and

compare the first risk score of the record to the second risk score of the record.

7. The system of claim 1, wherein the request to determine a significance of a first keyword comprises a request to determine a significance for each of a plurality of keywords.

8. A non-transitory computer-readable medium encoded with logic, the logic operable when executed to:

receive a request to determine a significance of a first keyword;

access a first record comprising the first keyword;

determine a first risk score of the first record;

assign the first risk score of the first record as a first keyword instance score associated with the first keyword;

determine the significance of the first keyword based at least in part upon the first keyword instance score; and

analyze the significance of the first keyword.

9. The computer-readable medium of claim 8, wherein the logic is further operable to:

determine a risk rating of a dataset associated with the first record, the risk rating associated with an risk rating score; and

based at least in part upon the risk rating and the risk rating score, determine the first risk score of the first record.

10. The computer-readable medium of claim 8, wherein the logic is further operable to:

determine a plurality of keyword instance scores associated with the first keyword, the plurality of keyword instance scores being determined from a plurality of records comprising the first keyword;

determine a distribution of the plurality of keyword instance scores; and

communicate information for display related to the distribution of the plurality of keyword instances scores.

11. The computer-readable medium of claim 8, wherein the logic is further operable to:

determine a frequency of the first keyword in a plurality of records comprising the first keyword;

generate a tree map based at least upon the frequency of the first keyword and the significance of the first keyword; and

communicate information related to the tree map for display.

12. The computer-readable medium of claim 8, wherein the logic is further operable to:

determine a second significance of the first keyword at a second time; and

compare the significance of the first keyword to the second significance of the first keyword at the second time; and

communicate information for display related to the comparison of the significance and the second significance.

13. The computer-readable medium of claim 8, wherein the logic is further operable to:

determine a second keyword that appears in the first record;

access a second record comprising the second keyword;

determine a second risk score of the second record;

assign the second risk score of the second record as a second keyword instance score associated with the second keyword;

determine a significance of the second keyword based at least in part upon the second keyword instance score;

determine a second risk score of the first record based at least in part upon the significance of the first keyword and a significance of the second keyword; and

compare the first risk score of the record to the second risk score of the record.

14. A keyword analysis method, comprising:

receiving a request to determine a significance of a first keyword;

accessing a first record comprising the first keyword;

determining, using a processor, a first risk score of the first record;

assigning, using the processor, the first risk score of the first record as a first keyword instance score associated with the first keyword;

determining, using the processor, the significance of the first keyword based at least in part upon the first keyword instance score; and

analyzing, using the processor, the significance of the first keyword.

15. The method of claim 14, wherein determining the first risk score of the first record comprises:

determining, using the processor, a risk rating of a dataset associated with the first record, the risk rating associated with a risk rating score; and

based at least in part upon the risk rating and the risk rating score, determining the first risk score of the first record.

16. The method of claim 15, further comprising determining, using the processor, the risk rating score associated with the risk rating by accessing a scale of a plurality of risk rating scores, wherein the scale is created by combining a plurality of rankings of a plurality of risk ratings from a plurality of datasets.

17. The method of claim 14, wherein analyzing the significance of the keyword comprises:

determining, using the processor, a plurality of keyword instance scores associated with the first keyword, the plurality of keyword instance scores being determined from a plurality of records comprising the first keyword;

determining, using the processor, a distribution of the plurality of keyword instance scores; and

communicating information for display related to the distribution of the plurality of keyword instances scores.

18. The method of claim 14, wherein analyzing the significance of the first keyword comprises:

determining a frequency of the first keyword in a plurality of records comprising the first keyword;

generating a tree map based at least upon the frequency of the first keyword and the significance of the first keyword; and

communicating information related to the tree map for display.

19. The method of claim 14, wherein analyzing the significance of the first keyword comprises:

determining a second significance of the first keyword at a second time; and

comparing the significance of the first keyword to the second significance of the first keyword at the second time; and

communicating information for display related to the comparison of the significance and the second significance.

20. The method of claim 14, further comprising:

determining, using the processor, a second keyword that appears in the first record;

accessing a second record comprising the second keyword;

determining, using the processor, a second risk score of the second record;

assigning, using the processor, the second risk score of the second record as a second keyword instance score associated with the second keyword;

determining, using the processor, a significance of the second keyword based at least in part upon the second keyword instance score;

determining, using the processor, a second risk score of the first record based at least in part upon the significance of the first keyword and a significance of the second keyword; and

comparing, using the processor, the first risk score of the record to the second risk score of the record.

21. The method of claim 14, wherein the request to determine a significance of a first keyword comprises a request to determine a significance for each of a plurality of keywords.