Classifying content based on mood

• US 20080109391A1
• Filed: 11/07/2006
• Published: 05/08/2008
• Est. Priority Date: 11/07/2006
• Status: Abandoned Application

• Current Assignee: Tremor Video, Inc.
• Original Assignee: ScanScout, Inc. (Magnite, Inc.)
• Inventors: Chan, Arthur
• Application Number:
  US11/594,714
• Publication Number:
  US 20080109391A1
• Time in Patent Office: Days
• US Class Current: 706/45
• CPC Class Codes: G06N 5/00 Computing arrangements using knowledge-based models

Abstract

In one embodiment, content and events are received. The content is analyzed based on to determine a mood score based on events. The mood score is used to classify the content and event with a mood. The mood classification may then be used to affect actions being performed. For example, the mood may affect ad matching to the content. In one example, depending on the mood that is calculated, different ads may be matched to different portions of the content. Accordingly, more effective ads may be served with the content when the mood classification is taken into account.

Claims

1. A method for analyzing content, the method comprising:

determining a portion of the content;

determining an event;

determining one or more models that include statistical information for modeling a mood; and

analyzing the portion of the content to determine a mood score based on the event using the one or more models, wherein the mood score is usable to provide mood information about the portion of content and the event.

2. The method of claim 1, wherein the event comprises an advertisement, the method further comprising determining if the advertisement should be matched to the portion of content based on the mood score.

3. The method of claim 1, wherein the one or more models comprise a mood prior model, mood to content model, and/or an event content matching model.

4. The method of claim 1, wherein the mood information comprises an emotion.

5. The method of claim 1, wherein the mood information comprises information on whether the content and the event are disputatious or not disputatious.

6. The method of claim 1, wherein the mood score is determined based on sub-mood scores determined from analyzing the portion of content and the event using each of the one or more models individually.

7. The method of claim 1, wherein analyzing the portion of the content comprising determining if the portion of content includes one or more blacklist keywords, wherein the mood score is adjusted based on if the portion of content includes a blacklist keyword in the one or more blacklist keywords.

8. The method of claim 7, wherein the event is not matched to the portion of content if it includes the blacklist keyword.

9. The method of claim 1, further comprising:

comparing the mood score for the event to one or more mood scores for one or more other events; and

selecting one of the event or the one of the one or more other events that has the most favorable mood score.

10. The method of claim 9, wherein the selected event is selected to be used as an advertisement associated with the portion of content.

11. An apparatus comprising:

one or more processors; and

logic encoded in one or more tangible media for execution by the one or more processors and when executed operable to;

determine a portion of content;

determine an event;

determine one or more models that include statistical information for modeling a mood; and

analyze the portion of the content to determine a mood score based on the event using the one or more models, wherein the mood score is usable to provide mood information about the portion of content and the event.

12. The apparatus of claim 11, wherein the event comprises an advertisement, the logic further operable to determine if the advertisement should be matched to the portion of content based on the mood score.

13. The apparatus of claim 11, wherein the one or more models comprise a mood prior model, mood to content model, and/or an event content matching model.

14. The apparatus of claim 11, wherein the mood information comprises an emotion.

15. The apparatus of claim 11, wherein the mood information comprises information on whether the content and the event are disputatious or not disputatious.

16. The apparatus of claim 11, wherein the mood score is determined based on sub-mood scores determined from analyzing the portion of content and the event using each of the one or more models individually.

17. The apparatus of claim 11, wherein the logic is operable to determine if the portion of content includes one or more blacklist keywords, wherein the mood score is adjusted based on if the portion of content includes a blacklist keyword in the one or more blacklist keywords.

18. The apparatus of claim 17, wherein the event is not matched to the portion of content if it includes the blacklist keyword.

19. The apparatus of claim 11, wherein the logic is further operable to:

compare the mood score for the event to one or more mood scores for one or more other events; and

select one of the event or the one of the one or more other events that has the most favorable mood score.

20. The apparatus of claim 19, wherein the selected event is selected to be used as an advertisement associated with the portion of content.