Unspoken sentiment

• US 9,715,492 B2
• Filed: 09/11/2013
• Issued: 07/25/2017
• Est. Priority Date: 09/11/2013
• Status: Active Grant

• Current Assignee: Arlington Technologies, LLC (Dominion Harbor Enterprises, LLC)
• Original Assignee: Avaya Incorporated
• Inventors: Skiba, David, Erhart, George, Becker, Lee, Matula, Valentine C
• Primary Examiner(s): Holmes, Michael B
• Application Number:
  US14/024,334
• Publication Number:
  US 20150073775A1
• Time in Patent Office: 1,413 Days
• Field of Search: 706 55
• CPC Class Codes: G05B 13/048 using a predictor
• CPC Class Codes: G06F 17/10 Complex mathematical operations function generation by table look-up G06F1/03; evaluation of elementary functions by calculation G06F7/544
• CPC Class Codes: G06F 40/20 Natural language analysis semantic analysis of natural language G06F40/30
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: H04N 21/251 Learning process for intelligent management, e.g. learning user preferences for recommending movies details of learning user preferences for the retrieval of video data in a video database G06F16/739; computer systems using learning methods G06N3/08

Abstract

The sentiment of a message may not be obtainable from the message itself. However, many messages have an associated context that provides information useful in determining the sentiment of a message. Messages may include links to other resources, such as graphics or videos, which in turn include titles, comments, viewer ratings or other attributes that may provide a sentiment of the message.

Claims

1. A method, determining a message sentiment, comprising:

selecting, by a processor, a message;

selecting, by the processor, a context associated with the selected message;

determining, by the processor, a sentiment of the context;

assigning, by the processor, the determined sentiment to the selected message; and

wherein the determining the sentiment of the context further comprises, determining the sentiment in accord with an attribute of the context.

2. The method of claim 1, further comprising:

selecting, by the processor, a plurality of contexts, each associated with the message; and

setting, by the processor, the sentiment of the message in accord with the plurality of contexts.

3. The method of claim 2, wherein the context includes a rate of occurrence context associated with the plurality of contexts.

4. The method of claim 2, further comprising,

determining, by the processor, a sentiment score for ones of the plurality of contexts;

and

setting, by the processor, the sentiment of the message in accord with an aggregate sentiment score for the ones of the plurality of contexts.

5. The method of claim 1, wherein the context is associated with a media file and the attribute of the context is at least one of poster comments, title, and viewer comments associated with the media file.

6. The method of claim 5, wherein the viewer comments include an explicit rating indicator.

7. The method of claim 1, wherein the context is an implied endorsement by a viewer of the message.

18. The method of claim 1, wherein the context is associated with a media file and the attribute of the context comprises poster comments associated with the media file.

19. The method of claim 1, wherein the context is associated with a media file and the attribute of the context comprises a title associated with the media file.

20. The method of claim 1, wherein the context is associated with a media file and the attribute of the context comprises viewer comments associated with the media file.

8. A system for determining sentiment of a message, comprising:

a processor,

a storage,

a network interface, and

wherein the processor is operable to obtain a message from the storage, the message having an associated context;

wherein the processor is further operable to determine the sentiment of the context;

set the sentiment of the message in accord with the sentiment of the context; and

wherein the processor determines the sentiment of the context by determining the sentiment in accord with an attribute of the context.

9. The system of claim 8, wherein the processor is further operable to utilize the network interface to access at least one of the message and the context of the message.

10. The system of claim 8, wherein the processor is further operable to:

select a plurality of contexts, each associated with the message; and

set the sentiment of the message in accord with the plurality of contexts.

11. The system of claim 10, wherein the context includes a rate of occurrence context associated with the plurality of contexts.

12. The system of claim 8, wherein the context is associated with a media file and the attribute of the context is at least one of poster comments, title, and viewer comments associated with the media file.

13. The system of claim 12, wherein the viewer comments include an explicit rating indicator.

14. The system of claim 8, wherein the context is an implied endorsement by a viewer of the message.

15. A system, comprising:

means for selecting, by a processor, a message;

means for selecting, by the processor, a context associated with the message;

means for determining, by the processor, a sentiment of the context;

means for setting, by the processor, the sentiment of the message in accord with the sentiment of the context; and

wherein the means for determining the sentiment of the context further comprises, means for determining, by the processor, the sentiment in accord with an attribute of the context.

16. The system of claim 15, wherein the context is associated with a media file and the attribute of the context is at least one of poster comments, title, and viewer comments associated with the media file.

17. The system of claim 15, wherein the context is an implied endorsement by a viewer of the message.