SOCIAL CAPTURE RULES

• US 20160026687A1
• Filed: 07/24/2014
• Published: 01/28/2016
• Est. Priority Date: 07/24/2014
• Status: Active Grant

• Current Assignee: Adobe Inc.
• Original Assignee: Adobe Systems Incorporated (Adobe Inc.)
• Inventors: AITCHISON, CORY WILLIAM, LANETT, MARK, JONES, PAUL
• Granted Patent: US 10,120,932 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/3329 Natural language query formulation or dialogue systems
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

The collection of social data from social networking services for moderation purposes is improved by analyzing social mentions captured using an initial set of capture rules. The text and/or metadata of social mentions previously captured using an initial rule set of capture rules may be analyzed to identify common text and/or common metadata amongst those social mentions. A new rule set may be generated with capture rules having criteria selected based on the identified common text and/or common metadata. The new rule set may then be applied to capture new social data.

Claims

1. A non-transitory computer storage medium storing computer-useable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform operations comprising:

analyzing text and/or metadata of social mentions captured using an initial rule set to identify commonalities within the text and/or metadata;

generating a new rule set having one or more capture rules with criteria selected based on the commonalities identified by analyzing the text and/or metadata of the social mentions; and

applying the new capture rule set to capture new social mentions from one or more social networks.

2. The non-transitory computer storage medium of claim 1, wherein the text of the social mentions captured using the initial rule set is analyzed using natural language processing.

3. The non-transitory computer storage medium of claim 1, wherein the text of the social mentions captured using the initial rule set is analyzed based on a keyword specified by an initial capture rule of the initial rule set to identify one or more terms commonly used in conjunction with the keyword.

4. The non-transitory computer storage medium of claim 1, wherein the text of the social mentions captured using the initial rule set is analyzed based on a keyword specified by an initial capture rule of the initial rule set to identify one or more common topics corresponding with the keyword.

5. The non-transitory computer storage medium of claim 1, wherein the new rule set is generated by modifying at least one capture rule of the initial rule set.

6. The non-transitory computer storage medium of claim 1, wherein the new rule set is generated by adding at least one new capture rule to the initial rule set.

7. The non-transitory computer storage medium of claim 1, wherein the new rule set is generated by generating a new set of one or more capture rules.

8. The non-transitory computer storage medium of claim 1, wherein generating the new rule set comprises:

generating one or more proposed capture rules for the new rule set based on the commonalities;

providing the one or more proposed capture rules for presentation to a user;

receiving an acceptance of the one or more proposed capture rules from the user; and

generating the new rule set using the one or more proposed capture rules based on the acceptance.

9. The non-transitory computer storage medium of claim 8, wherein generating the new rule set further comprises calculating one or more accuracy metrics for the one or more proposed capture rules and providing the one or more accuracy metrics for presentation with the one or more proposed capture rules.

10. The non-transitory computer storage medium of claim 8, wherein generating the new rule set further comprises receiving a user modification to at least one of the one or more proposed capture rules prior to acceptance of the one or more proposed capture rules.

11. A computer-implemented method comprising:

analyzing, by a computing device, text and/or metadata of social mentions captured using an initial rule set to identify commonalities within the text and/or metadata;

generating a new rule set having one or more capture rules with criteria selected based on the commonalities identified by analyzing the text and/or metadata of the social mentions; and

employing the new rule set to capture new social data from one or more social networks for presentation in a moderation user interface.

12. The computer-implemented method of claim 11, wherein the text of the social mentions captured using the initial rule set is analyzed using natural language processing.

13. The computer-implemented method of claim 11, wherein the text of the social mentions captured using the initial rule set is analyzed based on a keyword specified by an initial capture rule of the initial rule set to identify one or more terms commonly used in conjunction with the keyword.

14. The computer-implemented method of claim 11, wherein the text of the social mentions captured using the initial rule set is analyzed based on a keyword specified by an initial capture rule of the initial rule set to identify one or more common topics corresponding with the keyword.

15. The computer-implemented method of claim 11, wherein the new rule set is generated by modifying the initial rule set.

16. The computer-implemented method of claim 11, wherein the new rule set is generated by generating a new set of one or more capture rules.

17. The computer-implemented method of claim 11, wherein generating the new rule set comprises:

generating one or more proposed capture rules for the new rule set based on the commonalities;

providing the one or more proposed capture rules for presentation to a user;

receiving an acceptance of the one or more proposed capture rules from the user; and

generating the new rule set using the one or more proposed capture rules based on the acceptance.

18. The computer-implemented method of claim 17, wherein generating the new rule set further comprises calculating one or more accuracy metrics for the one or more proposed capture rules and providing the one or more accuracy metrics for presentation with the one or more proposed capture rules.

19. The computer-implemented method of claim 17, wherein generating the new rule set further comprises receiving a user modification to at least one of the one or more proposed capture rules prior to acceptance of the one or more proposed capture rules.

20. A computerized system comprising:

one or more processors; and

one or more computer storage media storing computer-useable instructions that, when used by the one or more processors, cause the one or more processors to;

analyze social mentions captured using an initial rule set to identify text in the social mentions that commonly appears in association with a keyword specified by a capture rule from the initial rule set;

generate a new rule set having one or more capture rules with criteria selected based on the text; and

apply the new rule set to capture social mentions from one or more social networking services.