METHOD AND SYSTEM FOR PERFORMING ANALYSIS OF SOCIAL MEDIA MESSAGES

• US 20140280525A1
• Filed: 03/12/2013
• Published: 09/18/2014
• Est. Priority Date: 03/12/2013
• Status: Active Grant

• Current Assignee: Oracle International Corporation (Oracle Corporation)
• Original Assignee: Oracle International Corporation (Oracle Corporation)
• Inventors: MCCANDLESS, Timothy P., SETAYESH, Mehrshad, CHEN, Duo
• Granted Patent: US 9,426,239 B2
• Time in Patent Office: Days
• US Class Current: 709/204
• CPC Class Codes: G06F 16/335 Filtering based on additional data, e.g. user or group profiles filtering in web context G06F16/9535, G06F16/9536
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 10/107 Computer-aided management of electronic mailing [e-mailing]
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04L 67/564 Enhancement of application control based on intercepted application data

Abstract

Disclosed is an improved method, system, and computer program product for analyzing social media content. Correlation analysis is used to analyze the social media data snippets. The correlation analysis is performed by reviewing other items of data that are outside of the message content itself. The present approach can advantageously be used to analyze and understand the content of social media message even where only very small quantities of data are provided within each message posting.

Claims

1. A computer implemented method for analyzing social media data, comprising:

receiving social media content for analysis, wherein the social media content includes a relatively small quantity of information;

receiving additional data relating to the social media content, wherein the external data is not retrieved from the body of the social media content; and

correlating the additional data with the social media content to identify a context for the social media content.

2. The method of claim 1, wherein the additional data comprises social profile data for an author of the social media content.

3. The method of claim 2, wherein the social profile data comprises demographic or psychographic information about the author of the social media content.

4. The method of claim 2, wherein the additional data comprises copies of other messages and postings by the author of the social media content.

5. The method of claim 2, wherein the social profile data is pre-analyzed to establish analysis data pertaining to the author prior to creation of the social media content.

6. The method of claim 1, wherein semantic analysis is performed to correlate the additional data with the social media content.

7. The method of claim 1, wherein the additional data comprises information about other items of social media.

8. The method of claim 7, wherein correlation analysis is performed between the additional data and the social media content using at least one of location data, time data, volume data, and subject matter data.

9. The method of claim 1 in which semantic filtering is performed to reduce occurrence of false positives, false negatives or inappropriate responses.

10. The method of claim 1, wherein the social media content comprises messages from a messaging system that is distributed based upon identification of followers for the messages.

11. The method of claim 1, wherein the analysis results are obtained that create actionable items for an enterprise software system.

12. The method of claim 11, wherein the enterprise software system comprises at least one of a customer relations management application, an enterprise resource planning applications, and a supply chain management application.

13. A computer readable medium having stored thereon a sequence of instructions which, when executed by a processor causes the processor to execute a method for analyzing social media data, the method comprising:

receiving social media content for analysis, wherein the social media content includes a relatively small quantity of information;

receiving additional data relating to the social media content, wherein the external data is not retrieved from the body of the social media content; and

correlating the additional data with the social media content to identify a context for the social media content.

14. The computer readable medium of claim 13, wherein the additional data comprises social profile data for an author of the social media content.

15. The computer readable medium of claim 14, wherein the social profile data comprises demographic or psychographic information about the author of the social media content.

16. The computer readable medium of claim 14, wherein the additional data comprises copies of other messages and postings by the author of the social media content.

17. The computer readable medium of claim 14, wherein the social profile data is pre-analyzed to establish analysis data pertaining to the author prior to creation of the social media content.

18. The computer readable medium of claim 13, wherein semantic analysis is performed to correlate the external data with the social media content.

19. The computer readable medium of claim 13, wherein the additional data comprises information about other items of social media.

20. The computer readable medium of claim 19, wherein correlation analysis is performed between the additional data and the social media content using at least one of location data, time data, volume data, and subject matter data.

21. The computer readable medium of claim 13 in which semantic filtering is performed to reduce occurrence of false positives, false negatives or inappropriate responses.

22. The computer readable medium of claim 13, wherein the social media content comprises messages from a messaging system that is distributed based upon identification of followers for the messages.

23. computer readable medium of claim 13, wherein the analysis results are obtained that create actionable items for an enterprise software system.

24. The computer readable medium of claim 23, wherein the enterprise software system comprises at least one of a customer relations management application, an enterprise resource planning applications, and a supply chain management application.

25. A computer system for analyzing social media data, comprising:

a computer processor to execute a set of program code instructions; and

a memory to hold the program code instructions, in which the program code instructions comprises program code to perform, wherein the program code instructions comprises instructions for receiving social media content for analysis, wherein the social media content includes a relatively small quantity of information, receiving additional data relating to the social media content, wherein the additional data is not retrieved from the body of the social media content, and correlating the additional data with the social media content to identify a context for the social media content.

26. The system of claim 25, wherein the additional data comprises social profile data for an author of the social media content.

27. The system of claim 26, wherein the social profile data comprises demographic or psychographic information about the author of the social media content.

28. The system of claim 26, wherein the additional data comprises copies of other messages and postings by the author of the social media content.

29. The system of claim 26, wherein the social profile data is pre-analyzed to establish analysis data pertaining to the author prior to creation of the social media content.

30. The system of claim 25, wherein semantic analysis is performed to correlate the additional data with the social media content.

31. The system of claim 25, wherein the external data comprises information about other items of social media.

32. The system of claim 31, wherein correlation analysis is performed between the additional data and the social media content using at least one of location data, time data, volume data, and subject matter data.

33. The system of claim 25 in which semantic filtering is performed to reduce occurrence of false positives, false negatives or inappropriate responses.

34. The system of claim 25, wherein the social media content comprises messages from a messaging system that is distributed based upon identification of followers for the messages.

35. The system of claim 25, wherein the analysis results are obtained that create actionable items for an enterprise software system.

36. The system of claim 35, wherein the enterprise software system comprises at least one of a customer relations management application, an enterprise resource planning applications, and a supply chain management application.