SOCIAL INTELLIGENCE ARCHITECTURE

• US 20130297618A1
• 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: CHANDRASEKARAN, Deepak, STUBBS, Paul
• Granted Patent: US 9,418,389 B2
• Time in Patent Office: Days
• US Class Current: 707/748
• CPC Class Codes: G06F 16/22 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 16/24578 using ranking
• 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 51/52 for supporting social networking services

Abstract

A social intelligence system is presented that streams information from a source, queues the streamed information, analyzes/scores the queued data, and stores the analyzed/scored data in an analysis database. The analyzed/scored data can then be retrieved from the database for post-processing and stored in a client specific database for further reporting. By streaming the data into various message queues and scoring the data before storing in the analysis database, large volumes of data can be efficiently processed and analyzed for a particular person and/or entity.

Claims

1. A method for analyzing social media data in an information processing apparatus, the information processing apparatus having one or more processors, the method comprising:

receiving, using a data transmission device, social media data streams from one or more social media sources as social media data segments;

queuing the received social media data segments into one or more social media message queues, the one or more social media message queues buffering the social media data segments as the segments are streamed from the one or more social media sources;

scoring the buffered social media data segments based upon one or more predefined factors;

performing, using the one or more processors, a sentiment analysis for an entity using the social media data segments and a score associated with the social media data segments; and

storing the social media data segments and their associated score of the data segment into an analysis database.

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

parsing and scoring the social media data segments using a natural language processor; and

storing the results of the sentiment analysis in an entity specific database.

3. The method for analyzing social media data according to claim 2, wherein the social media data segments are analyzed for a positive, neutral, or negative sentiment of an author of the social media data segment.

4. The method for analyzing social media data according to claim 1, wherein the multiple social media sources comprises at least one of publications, social media websites, forums, blogs, radio broadcasts, and/or television broadcasts.

5. The method for analyzing social media data according to claim 1, further comprising storing social media data segments and their associated scores in a historical database from the analysis database after a predetermined period of time.

6. The method for analyzing social media data according to claim 1, wherein the one or more social media message queues comprise high speed memory capable of quickly buffering and accessing the social media data segments.

7. The method for analyzing social media data according to claim 1, further comprising generating a sentiment report based on the performed sentiment analysis for the entity.

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 according to claim 1.

9. A social intelligence apparatus, comprising:

a memory having one or more social media message queues; and

one or more processors, coupled to the memory, configured to execute social media data analysis in the social intelligence apparatus and configured to;

receive, using a data transmission device, social media data streams from one or more social media sources as social media data segments;

queue the received social media data segments into one or more social media message queues, the one or more social media message queues buffering the social media data segments as the segments are streamed from the one or more social media sources;

score the buffered social media data segments based upon one or more predefined factors;

perform, using the one or more processors, a sentiment analysis for an entity using the social media data segments and a score associated with the social media data segments; and

store the social media data segments and their associated score of the data segment into an analysis database.

10. The social intelligence apparatus according to claim 9, wherein the one or more processors are further configured to:

parse and scoring the social media data segments using a natural language processor; and

store the results of the sentiment analysis in an entity specific database.

11. The social intelligence apparatus according to claim 10, wherein the social media data segments are analyzed for a positive, neutral, or negative sentiment of an author of the social media data segment.

12. The social intelligence apparatus according to claim 9, wherein the multiple social media sources comprises at least one of publications, social media websites, forums, blogs, radio broadcasts, and/or television broadcasts.

13. The social intelligence apparatus according to claim 9, wherein the one or more processors are further configured to store social media data segments and their associated scores in a historical database from the analysis database after a predetermined period of time.

14. The social intelligence apparatus according to claim 9, wherein the one or more social media message queues comprise high speed memory capable of quickly buffering and accessing the social media data segments.

15. The social intelligence apparatus according to claim 9, wherein the one or more processors are further configured to generate a sentiment report based on the performed sentiment analysis for the entity.

16. A social intelligence system, comprising:

one or more social media devices 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 social media data; and

a social intelligence apparatus having;

a memory having multiple social media message queues;

a transceiver configured to receive social media data from the one or more social media devices; and

one or more processors, coupled to the memory, configured to execute social media data analysis in the social intelligence apparatus and configured to;

receive, using a data transmission device, social media data streams from one or more social media sources as social media data segments;

queue the received social media data segments into one or more social media message queues, the one or more social media message queues buffering the social media data segments as the segments are streamed from the one or more social media sources;

score the buffered social media data segments based upon one or more predefined factors;

perform, using the one or more processors, a sentiment analysis for an entity using the social media data segments and a score associated with the social media data segments; and

store the social media data segments and their associated score of the data segment into an analysis database.

17. The social intelligence system of claim 16, wherein the one or more processors are further configured to:

parse and scoring the social media data segments using a natural language processor; and

store the results of the sentiment analysis in an entity specific database.

18. The social intelligence system of claim 17, wherein the social media data segments are analyzed for a positive, neutral, or negative sentiment of an author of the social media data segment.

19. The social intelligence system of claim 16, wherein the multiple social media sources comprises at least one of publications, social media websites, forums, blogs, radio broadcasts, and/or television broadcasts.

20. The social intelligence system of claim 16, wherein the one or more processors in the social intelligence apparatus are further configured to store social media data segments and their associated scores in a historical database from the analysis database after a predetermined period of time.