System and Method for Visualizing Sentiment Assessment from Content

• US 20120179692A1
• Filed: 01/12/2012
• Published: 07/12/2012
• Est. Priority Date: 01/12/2011
• Status: Abandoned Application

• Current Assignee: Alexandria Investment Research and Technology, Inc.
• Original Assignee: Alexandria Investment Research and Technology, Inc.
• Inventors: Hsiao, Ruey-Lung, Shirley, Eugene B. Jr.
• Application Number:
  US13/349,460
• Publication Number:
  US 20120179692A1
• Time in Patent Office: Days
• US Class Current: 707/748
• CPC Class Codes: G06F 16/34 Browsing; Visualisation therefor

Abstract

Methods, systems, and apparatus, including medium-encoded computer program products, provide visualizations of sentiment assessments derived from content published online. In one or more aspects, a method includes: obtaining sentiment scores and associated data, the sentiment scores assigned to entities based on emotional tone detected in obtained content; obtaining input defining a subset of the sentiment scores and associated data to present; and outputting a visualization corresponding to the subset of the sentiment scores and associated data. In addition, obtaining the input can include receiving a definition corresponding to company relationships used to filter the sentiment scores and associated data. The definition can include an indication of which relationship types indicate the company relationships, and parameters that govern filtering by the indicated company relationships. The relationship types can include supply chain relationship, credit relationship and common director relationship, and the company relationships can include company-company relationships, company-individual relationships and individual-individual relationships.

Claims

1. A method comprising:

obtaining sentiment scores and associated data, the sentiment scores assigned to entities based on emotional tone detected in obtained content;

obtaining input defining a subset of the sentiment scores and associated data to present; and

outputting a visualization corresponding to the subset of the sentiment scores and associated data.

2. The method of claim 1, wherein obtaining the sentiment scores and associated data comprises receiving the sentiment scores from a separate sentiment assessment system that automatically gathers, manages, and analyzes the content, which includes at least one of content published online or private content provided by third parties, wherein the sentiment scores are numeric values determined by the separate sentiment assessment system.

3. The method of claim 1, wherein the entities comprise companies, sectors, industries and countries, and obtaining the input comprises receiving the input through a user interface configured to allow slicing of an entire dataset according to various criteria, including countries, sectors, market capitalization, and time.

4. The method of claim 1, wherein obtaining the input comprises receiving a definition corresponding to company relationships used to filter the sentiment scores and associated data.

5. The method of claim 4, wherein receiving the definition comprises:

receiving an indication of which relationship types indicate the company relationships; and

receiving parameters to govern filtering by the indicated company relationships.

6. The method of claim 5, wherein the relationship types include supply chain relationship, credit relationship and common director relationship, and the company relationships include company-company relationships, company-individual relationships and individual-individual relationships.

7. The method of claim 1, wherein outputting the visualization comprises charting sentiment scores derived from a common data source at different times.

8. The method of claim 1, wherein outputting the visualization comprises charting sentiment scores derived from different data sources.

9. The method of claim 1, wherein outputting the visualization comprises charting sentiment scores of one or more of the entities in relation to another measure of absolute value for the one or more entities.

10. The method of claim 1, wherein outputting the visualization comprises generating a heat map user interface having reconfigurable X and Y axes, one or more drill down interfaces, and three dimensional display settings that show content volume on a Z axis.

11. A computer-readable medium encoding a computer program product operable to cause data processing apparatus to perform operations comprising:

obtaining sentiment, scores and associated data, the sentiment scores assigned to entities based on emotional tone detected in obtained content;

obtaining input, defining a subset, of the sentiment scores and associated data to present; and

outputting a visualization corresponding to the subset of the sentiment scores and associated data.

12. The computer-readable medium of claim 11, wherein the entities comprise companies, sectors, industries and countries, and obtaining the input comprises receiving the input through a user interface configured to allow slicing of an entire dataset according to various criteria, including countries, sectors, market capitalization, and time.

13. The computer-readable medium of claim 11, wherein obtaining the input comprises receiving a definition corresponding to company relationships used to filter the sentiment scores and associated data.

14. The computer-readable medium of claim 11, wherein outputting the visualization comprises generating a heat map user interface having reconfigurable X and Y axes, one or more drill down interfaces, and three dimensional display setting that shows content volume on a Z axis.

15. A system comprising:

a user interface device; and

one or more computers operable to interact with the user interface device and to perform operations comprising;

obtaining sentiment scores and associated data, the sentiment scores assigned to entities based on emotional tone detected in obtained content;

obtaining input defining a subset of the sentiment scores and associated data to present; and

outputting a visualization corresponding to the subset of the sentiment scores and associated data.

16. The system of claim 15, wherein the one or more computers comprise a server operable to interact with the user interface device through a data communication network, the user interface device comprises an access device operable to interact with the server as a client, and obtaining the sentiment scores and associated data comprises receiving the sentiment scores from a separate sentiment assessment server system that automatically gathers, manages, and analyzes the content, which includes at least one of content published online or private content provided by third parties, wherein the sentiment scores are numeric values determined by the separate sentiment assessment server system.

17. The system of claim 15, wherein obtaining the input comprises:

receiving an indication of which relationship types indicate company relationships; and

receiving parameters to govern filtering by the indicated company relationships;

wherein the relationship types include supply chain relationship, credit relationship and common director relationship, and the company relationships include company-company relationships, company-individual relationships and individual-individual relationships.

18. The system of claim 15, wherein outputting the visualization comprises charting sentiment scores derived from a common data source at different times.

19. The system of claim 15, wherein outputting the visualization comprises charting sentiment scores derived from different data sources.

20. The system of claim 15, wherein outputting the visualization comprises charting sentiment scores of one or more of the entities in relation to another measure of absolute value for the one or more entities.