SOCIAL MEDIA MOOD PROCESSING FOR CUSTOMER RELATIONSHIP MANAGEMENT (CRM)

• US 20170046719A1
• Filed: 08/12/2015
• Published: 02/16/2017
• Est. Priority Date: 08/12/2015
• Status: Abandoned Application

• Current Assignee: Sugarcrm Incorporated
• Original Assignee: Sugarcrm Incorporated
• Inventors: Kulchytskyy, Vladyslav, Guerra, Filipe
• Application Number:
  US14/825,136
• Publication Number:
  US 20170046719A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/016 After-sales
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

Embodiments of the invention provide a method, system and computer program product for social media mood processing in a customer relationship management (CRM) application. In an embodiment of the invention, a method for social media mood processing in a CRM application includes establishing a communicative connection between a CRM application executing in memory of a host computing system and one or more different feeds of respectively different social media Web sites over a computer communications network. The method also includes monitoring different posts in each of the social media Web sites to detect an association with a specified keyword. Finally, the method includes responding to a detection of a post with the specified keyword, by parsing the detected post to determine if the detected post is negative in nature and if so, identifying an author of the detected post and creating an action in the CRM application for the author.

Claims

1. A method for social media mood processing in a customer relationship management (CRM) application, the method comprising:

establishing a communicative connection between a CRM application executing in memory of a host computing system and one or more different feeds of respectively different social media Web sites over a computer communications network;

monitoring different posts in each of the social media Web sites to detect an association with a specified keyword; and

,

responsive to detecting a post with the specified keyword, parsing the detected post to determine if the detected post is negative in nature and if so, identifying an author of the detected post and creating an action in the CRM application for the author.

2. The method of claim 1, wherein the action is created in the CRM application only if the author is determined to be geographically proximate to a designated end user of the CRM application.

3. The method of claim 1, wherein the keyword is a hashtag.

4. The method of claim 1, wherein the post is determined to be negative based upon a presence in the post of keywords present in a table of negativity loaded into memory of the host computing system.

5. The method of claim 1, wherein the post is determined to be negative based upon a presence of an emoticon present in a table of negativity loaded into memory of the host computing system.

6. A customer relationship management (CRM) data processing system configured for social media mood processing, the system comprising:

a host computing system comprising one or more computers each with memory and at least one processor;

a CRM application executing the memory of the host computing system; and

,

a social media mood processing module coupled to the CRM application, the module comprising program code enabled to establish a communicative connection between the CRM application and one or more different feeds of respectively different social media Web sites over a computer communications network, to monitor different posts in each of the social media Web sites to detect an association with a specified keyword and to respond to a detection of a post with the specified keyword by parsing the detected post to determine if the detected post is negative in nature and if so, identifying an author of the detected post and creating an action in the CRM application for the author.

7. The system of claim 6, wherein the action is created in the CRM application only if the author is determined to be geographically proximate to a designated end user of the CRM application.

8. The system of claim 6, wherein the keyword is a hashtag.

9. The system of claim 6, wherein the post is determined to be negative based upon a presence in the post of keywords present in a table of negativity loaded into memory of the host computing system.

10. The system of claim 6, wherein the post is determined to be negative based upon a presence of an emoticon present in a table of negativity loaded into memory of the host computing system.

11. A computer program product for social media mood processing, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a device to cause the device to perform a method comprising:

establishing a communicative connection between a customer relationship management (CRM) application executing in memory of a host computing system and one or more different feeds of respectively different social media Web sites over a computer communications network;

monitoring different posts in each of the social media Web sites to detect an association with a specified keyword; and

,

responsive to detecting a post with the specified keyword, parsing the detected post to determine if the detected post is negative in nature and if so, identifying an author of the detected post and creating an action in the CRM application for the author.

12. The computer program product of claim 11, wherein the action is created in the CRM application only if the author is determined to be geographically proximate to a designated end user of the CRM application.

13. The computer program product of claim 11, wherein the keyword is a hashtag.

14. The computer program product of claim 11, wherein the post is determined to be negative based upon a presence in the post of keywords present in a table of negativity loaded into memory of the host computing system.

15. The computer program product of claim 11, wherein the post is determined to be negative based upon a presence of an emoticon present in a table of negativity loaded into memory of the host computing system.