Apparatus, system and method for a brand affinity engine using positive and negative mentions

• US 20090024409A1
• Filed: 07/29/2008
• Published: 01/22/2009
• Est. Priority Date: 02/06/2002
• Status: Abandoned Application

• Current Assignee: Veritone Media
• Original Assignee: Veritone Media
• Inventors: Steelberg, Ryan, Steelberg, Chad
• Application Number:
  US12/220,911
• Publication Number:
  US 20090024409A1
• Time in Patent Office: Days
• US Class Current: 705/301
• CPC Class Codes: G06Q 10/103 Workflow collaboration or project management
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

An apparatus, system and method of implementing a computerized brand affinity engine. The apparatus, system and method include at least a plurality of computerized access points having accessible thereto a plurality of sites mentioning at least one sponsor, a categorized, hierarchical database of keywords, wherein at least the keywords falling in at least one category of the hierarchy correspond to a sponsor category of the at least one sponsor, and a tracker, wherein the tracker tracks positive ones of the mentions of the at least one sponsor on ones of the plurality of sites and negative ones of the mentions of the at least one sponsor on ones of the plurality of sites, in accordance with positive and negative keywords of the categorized, hierarchical database in the sponsor category, and wherein the tracker issues an rating with regard to the at least one sponsor in accordance with the positive ones and the negative ones of the mentions. An assessment of optimal sponsors for particular markets and/or in particular geographies that additionally increases sponsorship opportunities in particular markets and/or in particular geographies is thereby provided.

Claims

1. A programmatic scoring apparatus for scoring one or more mentions of one or more sponsoring brands, comprising:

a content review window;

at least one scoring input;

a review tracker, wherein said review tracker tracks scores for the one or more mentions entered into said scoring input, and at least one characteristic associated with each of the scores entered into said scoring input;

a manager engine, wherein said manager engine manages a plurality of ones of said scoring input to provide limited deviation among at least two of the plurality of ones of said scoring input.

2. The apparatus of claim 1, wherein a first plurality of said at least one scoring input comprise expert scoring inputs, and wherein a second plurality of said at least one scoring input comprise non-expert scoring inputs.

3. The apparatus of claim 2, wherein at least one of the one or more mentions comprises a first arising mention, and wherein the first arising mention comprises a score entered to at least one of the expert scoring inputs.

4. The apparatus of claim 1, wherein said review tracker tracks the at least one characteristic comprising at least one from the group consisting of a variability of a subject one of the scores from a typical score, a length of review time before the subject one of the scores, and an identity at the scoring input of the subject one of the scores.

5. The apparatus of claim 1, wherein allowances for the limited deviation are increased for fewer ones of the mentions.

6. The apparatus of claim 5, wherein allowances for the limited deviation are decreased proportionally with a level of fame of a subject one of the mentions.

7. The apparatus of claim 1, wherein said manager engine provides for adjustment in ones of the scores based on a one of the scoring inputs.

8. The apparatus of claim 1, wherein said manager engines comprises a trainer for reviewers correspondent to ones of said at least one scoring input.

9. The apparatus of claim 1, wherein ones of the scores comprise a convergence.

10. The apparatus of claim 1, wherein ones of the scores comprise a non-convergence.

11. The apparatus of claim 1, wherein said review tracker comprises a statistical analyzer.

12. The apparatus of claim 1, wherein said review window comprises a summary presentation of ones of the mentions.

13. A method of scoring one or more internet mentions of one or more sponsoring brands, comprising:

presenting for review the one or more mentions by a corresponding one or more experts;

receiving at least one score from each one or more expert uniquely associated with each of the one or more mentions;

tracking all of the scores for each of the one or more mentions, and a plurality of characteristics associated with each of the scores;

accumulating a net score for each mention in accordance with said tracking.

14. The method of claim 13, wherein the net score comprises a limited deviation among the scores.

15. The method of claim 13, further comprising weighting the net score towards ones of the experts having higher levels of expertise.

16. The method of claim 13, further comprising weighting the net score by frequency of ones of the mentions.

17. The method of claim 13, further comprising weighting the net score in accordance with a level of fame of a subject of ones of the mentions.

18. The method of claim 13, wherein the net score comprises a convergence.

19. The method of claim 13, wherein said presenting comprises presenting a summary of at least one of the mentions for review.

20. The method of claim 13, further comprising statistically analyzing the net score.