METHOD AND SYSTEM FOR IMPLEMENTING SEMANTIC ANALYSIS OF INTERNAL SOCIAL NETWORK CONTENT

• US 20140074844A1
• Filed: 09/09/2013
• Published: 03/13/2014
• Est. Priority Date: 09/09/2012
• Status: Active Grant

• Current Assignee: Oracle International Corporation (Oracle Corporation)
• Original Assignee: Oracle International Corporation (Oracle Corporation)
• Inventors: BEAR, Mary E.G., SETAYESH, Mehrshad, HORTON, Noah, SUBRAMANIAN, Srividhya
• Granted Patent: US 9,727,925 B2
• Time in Patent Office: Days
• US Class Current: 707/739
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04L 67/306 User profiles

Abstract

Disclosed is a method, system, and computer program product for semantically analyzing the content within an internal social network. Using the results of the analysis, the executives can gain a better understanding of, and insight into, the organization and its employees. A dashboard tool may be used in some embodiments of the invention to visualize the results of the semantic analysis.

Claims

1. A method implemented with a processor, comprising:

identifying an internal social network for an enterprise;

collecting content from the internal social network; and

performing semantic analysis upon the content collected from the internal social network.

2. The method of claim 1, in which a dashboard tool is used to visualize results from performing the semantic analysis.

3. The method of claim 1, in which results from performing the semantic analysis is used to gain insight into an organization or its employees.

4. The method of claim 1, in which the content comprises business objects and conversations associated with the business objects.

5. The method of claim 1, in which the semantic analysis is performed in conjunction with filtering.

6. The method of claim 1, in which the semantic analysis comprises latent semantic analysis (LSA).

7. The method of claim 1, in which the semantic analysis identifies themes within the content.

8. The method of claim 1, in which employee profile data is used to analyze the content.

9. The method of claim 1, in which analysis results are integrated with an enterprise application.

10. The method of claim 9, in which the enterprise application is a Human resources (“

HR”

) application, customer relations management (“

CRM”

) application, enterprise resource planning (“

ERP”

) application, or supply chain management application.

11. The method of claim 1, in which analysis results are used by company management to tailor communications to employees.

12. The method of claim 1, in which analysis results are used by company management to make budget allocations, spot bonuses, or make other monetary decisions.

13. The method of claim 1, in which the semantic analysis identifies popular or important topics discussed in the content within the internal social network.

14. The method of claim 1, in which the semantic analysis is used to identify employee sentiments.

15. The method of claim 1, wherein classification and tagging are performed on the content received from the internal social network, and actionable data is generated for an enterprise application based upon results of performing semantic analysis, classification, and tagging on the content.

16. A tangible computer readable medium having stored thereon a sequence of instructions which, when executed by a processor causes the processor to execute a process comprising:

identifying an internal social network for an enterprise;

collecting content from the internal social network; and

performing semantic analysis upon the content collected from the internal social network.

17. The computer readable medium of claim 16, in which a dashboard tool is used to visualize results from performing the semantic analysis.

18. The computer readable medium of claim 16, in which the content comprises business objects and conversations associated with the business objects.

19. The computer readable medium of claim 16, in which the semantic analysis is performed in conjunction with filtering.

20. The computer readable medium of claim 16, in which the semantic analysis comprises latent semantic analysis (LSA).

21. The computer readable medium of claim 16, in which the semantic analysis identifies themes within the content.

22. The computer readable medium of claim 16, in which employee profile data is used to analyze the content.

23. The computer readable medium of claim 16, in which analysis results are integrated with an enterprise application.

24. The computer readable medium of claim 16, in which analysis results are used by company management to tailor communications to employees.

25. The computer readable medium of claim 16, in which analysis results are used by company management to make budget allocations, spot bonuses, or make other monetary decisions.

26. The computer readable medium of claim 16, in which the semantic analysis identifies popular or important topics discussed in the content within the internal social network.

27. The computer readable medium of claim 16, in which the semantic analysis is used to identify employee sentiments.

28. The computer readable medium of claim 16, wherein classification and tagging are performed on the content received from the internal social network, and actionable data is generated for an enterprise application based upon results of performing semantic analysis, classification, and tagging on the content.

29. A system, comprising:

a processor;

a memory comprising computer code executed using the processor, in which the computer code implements a process for identifying an internal social network for an enterprise, collecting content from the internal social network, and performing semantic analysis upon the content collected from the internal social network.

30. The system of claim 29, further comprising a dashboard tool to visualize results from performing the semantic analysis.

31. The system of claim 29, in which the content comprises business objects and conversations associated with the business objects.

32. The system of claim 29, in which the semantic analysis is performed in conjunction with filtering.

33. The system of claim 29, in which the semantic analysis comprises latent semantic analysis (LSA).

34. The system of claim 29, in which employee profile data is used to analyze the content.

35. The system of claim 29, in which analysis results are integrated with an enterprise application.

36. The system of claim 29, in which analysis results are used by company management to tailor communications to employees.

37. The system of claim 29, in which analysis results are used by company management to make budget allocations, spot bonuses, or make other monetary decisions.

38. The system of claim 29, in which the semantic analysis identifies popular or important topics discussed in the content within the internal social network.

39. The system of claim 29, in which the semantic analysis is used to identify employee sentiments.

40. The system of claim 29, wherein classification and tagging are performed on the content received from the internal social network, and actionable data is generated for an enterprise application based upon results of performing semantic analysis, classification, and tagging on the content.