SOCIAL MEDIA PROFILING

• US 20130297619A1
• Filed: 05/07/2012
• Published: 11/07/2013
• Est. Priority Date: 05/07/2012
• Status: Active Grant

• Current Assignee: Nasdaq, Inc.
• Original Assignee: Nasdaq OMX Group Incorporated (Nasdaq, Inc.)
• Inventors: Stubbs, Paul, CHANDRASEKARAN, Deepak, COSTELLO, David
• Granted Patent: US 10,304,036 B2
• Time in Patent Office: Days
• US Class Current: 707/748
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04W 4/21 for social networking applications

Abstract

A system is presented that profiles authors and social media data across different media platforms and is capable of determining the author'"'"'s overall social impact. In one aspect, this is accomplished by using a data retrieval service to trawl various web-sites and social media platforms for information about authors which can then be associated with those authors in a profile database. In one example, an author may post an entry on his/her blog and the data retrieval service can access the profile information of the author, on the blog, where various aspects of the profile information (e.g., real name, employee information, home address) can be matched with candidates in a profile database. From the information gathered, authors can be linked across multiple, different platforms, and an overall social impact of each of the authors can be determined.

Claims

1. A method for analyzing and evaluating social media data, to determine a social impact of author comments on one or more topics, using an information processing apparatus having one or more processors, the method comprising:

determining a first sentiment on a first composition on a topic composed by an author using a first social media platform;

determining a second sentiment on a second composition on a related topic by an author using a second social media platform;

determining whether the author using the first social media platform is the same author as the author using the second social media platform;

comparing the first sentiment of the author of the first composition with the second sentiment of the author of the second composition when the author using the first social media platform is the same author as the author using the second social media platform;

scoring, via the one or more processors, the first sentiment of the author of the first composition based on the comparison between the first sentiment and the second sentiment; and

determining a social impact of the author based on the scored sentiment.

2. The method for analyzing social media data of claim 1, further comprising:

accessing a first profile of the first author on the first social media platform;

collecting information about the first author based on the first profile;

accessing a second profile of the second author on the second social media platform;

collecting information about the second author based the second profile;

comparing the collected information based on the first profile with the collected information based on the second profile to determine if the first author is the same author as the second author; and

aggregating scored sentiment of the first author and the second author to produce an overall sentiment thereby determining the social impact of the first and second author.

3. The method for analyzing social media data of claim 2, wherein the first and second profile includes at least one of a username of the authors, an age of the authors, a gender of the authors, a household income of the authors, career information of the authors, a location of the authors, a legal name of the authors, a pseudonym of the authors, and/or an ethnicity of the authors.

4. The method for analyzing social media data of claim 2, wherein the social media platform comprises at least one of publications, social media websites, forums, blogs, radio broadcasts, television broadcasts, and/or print content received in electronic form.

5. The method for analyzing social media data of claim 2, wherein

the first sentiment of the first author relates to a positive, negative, or neutral sentiment of the first author of the first composition,

the first social media platform is different than the second social media platform, and

the related topic is the same topic.

6. The method for analyzing social media data of claim 5, wherein a higher score is given to the first sentiment of the first author when the first sentiment of the first author is opposite to the second sentiment of the second author on the second composition of the related topic.

7. The method for analyzing social media data of claim 5, wherein a higher score is given to the first sentiment of the first author when the first sentiment of the first author is the same as the second sentiment of the second author on the second composition of the related topic.

8. A non-transitory computer-readable storage medium having computer readable code embodied therein which, when executed by a computer having one or more processors, performs the method for analyzing social media data of claim 1.

9. An information processing apparatus, comprising:

a memory configured to store social media data; and

one or more processors, coupled to the memory, configured to analyze and evaluate social media data to determine a social impact of author comments on one or more topics, and configured to;

determine a first sentiment on a first composition on a topic composed by an author using a first social media platform;

determine a second sentiment on a second composition on a related topic by an author using a second social media platform;

determine whether the author using the first social media platform is the same author as the author using the second social media platform;

compare the first sentiment of the author of the first composition with the second sentiment of the author of the second composition when the author using the first social media platform is the same author as the author using the second social media platform;

score the first sentiment of the author of the first composition based on the comparison between the first sentiment and the second sentiment; and

determine a social impact of the author based on the scored sentiment.

10. The information processing apparatus of claim 9, wherein the one or more processors are further configured to:

access a first profile of the first author on the first social media platform;

collect information about the first author based on the first profile;

access a second profile of the second author on the second social media platform;

collect information about the second author based the second profile;

compare the collected information based on the first profile with the collected information based on the second profile to determine if the first author is the same author as the second author; and

aggregate scored sentiment of the first author and the second author to produce an overall sentiment thereby determining the social impact of the first and second author.

11. The information processing apparatus of claim 10, wherein the first and second profile includes at least one of a username of the authors, an age of the authors, a gender of the authors, a household income of the authors, career information of the authors, a location of the authors, a legal name of the authors, a pseudonym of the authors, and/or an ethnicity of the authors.

12. The information processing apparatus of claim 10, wherein the social media platform comprises at least one of publications, social media websites, forums, blogs, radio broadcasts, television broadcasts, and/or print content received in electronic form.

13. The information processing apparatus of claim 10, wherein

the first sentiment of the first author relates to a positive, negative, or neutral sentiment of the first author of the first composition,

the first social media platform is different than the second social media platform, and

the related topic is the same topic.

14. The information processing apparatus of claim 13, wherein a higher score is given to the first sentiment of the first author when the first sentiment of the first author is opposite to the second sentiment of the second author on the second composition of the related topic.

15. The information processing apparatus of claim 13, wherein a higher score is given to the first sentiment of the first author when the first sentiment of the first author is the same as the second sentiment of the second author on the second composition of the related topic.

16. An information processing system, comprising:

one or more social media platforms having;

a memory configured to store social media data,

one or more processors configured to process social media data, and

a transceiver configured to transmit/receive social media data; and

an information processing apparatus having;

a memory configured to store social media data;

a transceiver configured to transmit/receive social media data; and

one or more processors, coupled to the memory, configured to analyze and evaluate social media data to determine a social impact of author comments on one or more topics, and configured to;

determine a first sentiment on a first composition on a topic composed by an author using a first social media platform;

determine a second sentiment on a second composition on a related topic by an author using a second social media platform;

determine whether the author using the first social media platform is the same author as the author using the second social media platform;

compare the first sentiment of the author of the first composition with the second sentiment of the author of the second composition when the author using the first social media platform is the same author as the author using the second social media platform;

score the first sentiment of the author of the first composition based on the comparison between the first sentiment and the second sentiment; and

determine a social impact of the author based on the scored sentiment.

17. The information processing system of claim 16, wherein the one or more processors in the information processing apparatus are further configured to:

access a first profile of the first author on the first social media platform;

collect information about the first author based on the first profile;

access a second profile of the second author on the second social media platform;

collect information about the second author based the second profile;

compare the collected information based on the first profile with the collected information based on the second profile to determine if the first author is the same author as the second author; and

aggregate scored sentiment of the first author and the second author to produce an overall sentiment thereby determining the social impact of the first and second author.

18. The information processing system of claim 17, wherein the first and second profile includes at least one of a username of the authors, an age of the authors, a gender of the authors, a household income of the authors, career information of the authors, a location of the authors, a legal name of the authors, a pseudonym of the authors, and/or an ethnicity of the authors.

19. The information processing system of claim 17, wherein the social media platform comprises at least one of publications, social media websites, forums, blogs, radio broadcasts, television broadcasts, and/or print content received in electronic form.

20. The information processing system of claim 17, wherein

the first sentiment of the first author relates to a positive, negative, or neutral sentiment of the first author of the first composition,

the first social media platform is different than the second social media platform, and

the related topic is the same topic.