METHOD AND SYSTEM FOR DATA MINING OF SOCIAL MEDIA TO DETERMINE AN EMOTIONAL IMPACT VALUE TO MEDIA CONTENT

• US 20130097176A1
• Filed: 10/12/2011
• Published: 04/18/2013
• Est. Priority Date: 10/12/2011
• Status: Abandoned Application

• Current Assignee: Ensequence Incorporated
• Original Assignee: Ensequence Incorporated
• Inventors: Khader, Aslam, Westerman, Larry Alan
• Application Number:
  US13/271,990
• Publication Number:
  US 20130097176A1
• Time in Patent Office: Days
• US Class Current: 707/748
• CPC Class Codes: G06Q 30/0251 Targeted advertisements
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products

Abstract

A computer system provides access to a corpus of social media content; extracts from the corpus of social media content one or more ratings of an item of media content; identifies the author of each of the one or more ratings; analyzes the content of each of the one or more ratings of an item of media content and assigns a value to each of the one or more ratings; analyzes the corpus of social media content and assigns an impact coefficient to the author of each of the one or more ratings; aggregates the values of the one or more ratings, weighted by the assigned impact coefficients of the author of each of the one or more ratings, and determines therefrom an aggregated value; and based on the aggregated value, assigns an emotional impact value to the item of media content.

Claims

1. In a computer system, a method of assigning an emotional impact value to an item of media content characterized by:

providing access to a corpus of social media content;

extracting from the corpus of social media content one or more ratings of the item of media content;

identifying the author of each of the one or more ratings;

analyzing the content of each of the one or more ratings and assigning a value to each of the one or more ratings;

analyzing the corpus of social media content and assigning an impact coefficient to the author of each of the one or more ratings;

aggregating the values of the one or more ratings, weighted by the assigned impact coefficient of the author of each of the one or more ratings, and determining an aggregated value; and

based on the aggregated value, assigning an emotional impact value to the item of media content.

2. The method of claim 1, wherein an item of media content comprises text, sound, voice, music, still image, video, or any combination thereof.

3. The method of claim 1, wherein social media content comprises one or more of textual, numerical, visual, auditory, or other data.

4. The method of claim 1, wherein the value assigned to a rating is based on a singular attribute, feature or characteristic of the item of media content.

5. The method of claim 1, wherein the value assigned to a rating is based on two or more attributes, features or characteristics of the item of media content.

6. The method of claim 1, wherein a value assigned to a rating is a numerical value, an impact coefficient is a numerical value, and weighting is performed by multiplying a rating value by an impact coefficient.

7. The method of claim 1, wherein aggregating values is performed by computing a mean value of the weighted rating values.

8. The method of claim 1, wherein assigning an emotional impact value is performed by setting the emotional impact value equal to the aggregated weighted value of the ratings.

9. A data mining engine for use in a media content affinity application, comprising:

at least one search engine that searches a plurality of social media content for mention of the media content;

a ratings engine that provides for an emotional impact rating of the mention of the media content, said ratings engine including;

a syntactic analyzer configured to derive an affinity value from the social media content, and

an author impact analyzer configured to determine an author impact coefficient from an identify of an author of the social media content, wherein the emotional impact rating for the social media content is determined by a weight of the author impact coefficient on the affinity value for the social media content;

an emotional impact rating accumulator adapted to receive emotional impact values for a plurality of social media content and determine an aggregated emotional impact value based on the plurality of social media content; and

a database configured to associate the aggregated emotional impact value with the media content.

10. The data mining engine of claim 9, wherein the author impact coefficient depends upon at least one of the size of a population influenced and a degree of influence on the population influenced.

11. The data mining engine of claim 9, wherein the author impact coefficient depends upon at least one of a number of readers of one or more items written by the author, a number of responders to the one or more items written by the author, a number of views of one or more videos of the author, a number of downloads of audio recordings of the author, and a viewership of a site upon which an author rating is displayed.

12. The data mining engine of claim 11, wherein the author impact coefficient depends upon an average count of a first number of readers of items written by the author compared with an average count of a second number of readers of items written by other authors.

13. The data mining engine of claim 11, wherein the author impact coefficient depends upon an average count of a first number of responders to items written by the author compared with an average count of a second number of responders to items written by other authors.

14. The data mining engine of claim 9, wherein the author impact coefficient is determined by computing

15. The data mining engine of claim 9, wherein the author impact coefficient is a qualitative value based on the relative ranking of the author among other authors in a similar context.

16. The data mining engine of claim 9 wherein the impact coefficient is taken from a value set that includes both positive and negative values.

17. The system of claim 9, wherein the aggregated emotional impact value is further configured to aggregate weighted rating values by computing a mean value of the weighted rating values.