SYSTEM AND METHOD FOR MANAGING OPINION NETWORKS WITH INTERACTIVE OPINION FLOWS

• US 20150089409A1
• Filed: 08/14/2012
• Published: 03/26/2015
• Est. Priority Date: 08/15/2011
• Status: Abandoned Application

• Current Assignee: Equal Media Limited
• Original Assignee: Equal Media Limited
• Inventors: Asseily, Alexander, Asseily, Mark, Paul, Soumyadeep, Harvey, Daniel Kristopher, Kelly, Spencer Cameron, Flatley, Helen Louise, Gribbon, Philip James Edward
• Application Number:
  US14/238,193
• Publication Number:
  US 20150089409A1
• Time in Patent Office: Days
• US Class Current: 715/765
• CPC Class Codes: G06F 3/0481 based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
• CPC Class Codes: G06F 40/274 Converting codes to words; Guess-ahead of partial word inputs
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G06F 40/40 Processing or translation of natural language natural language analysis G06F40/20; semantic analysis G06F40/30
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 12/1813 for computer conferences, e.g. chat rooms instant messaging H04L51/04; protocols for multimedia communication H04L65/1101; arrangements for multi-party communication H04L65/403; telephonic conference arrangements H04M3/56; television conference systems H04N7/15

Abstract

The field of the disclosure relates generally to systems and methods for managing opinion networks with interactive opinion flows and more particularly, but not exclusively, to systems and methods for collecting and analyzing electronic opinion data. A method for analyzing electronic opinion data includes the steps of receiving electronic opinion data, wherein the opinion data includes words of a natural language; mapping the opinion data to unifying opinion objects, the unifying opinion objects provided as a controlled natural language; and providing a presentation having at least one portion corresponding to at least one of said unifying opinions. In an alternative embodiment, the method further includes ranking the unifying opinion objects in an opinion graph to generate per-user relevance.

Claims

1. A computer-implemented method for analyzing electronic opinion data, said method comprising the steps of:

receiving electronic opinion data, wherein the electronic opinion data includes words of a natural language;

mapping the electronic opinion data to unifying opinion objects, wherein the unifying opinion objects are provided as a controlled natural language and include entity objects, opinion word objects, and subject objects, each of the opinion word objects being descriptive of at least one of the entity objects, and representing an opinion of at least one of the subject objects; and

providing a presentation having at least one portion corresponding to at least one of said unifying opinion objects.

2. The computer-implemented method of claim 1, further comprising ranking the unifying opinion objects in an opinion graph, wherein the opinion graph represents directional relationships between the subject objects and entity objects.

3. The computer-implemented method of claim 2, wherein the opinion graph comprises a social graph, a function graph, and an entity graph.

4. The computer-implemented method of claim 2, wherein the presentation includes a set of opinion results, wherein the set of opinion results are aggregated from a set of ranked related unifying opinion objects of the opinion graph.

5. The computer-implemented method of claim 4, wherein the ranked related unifying opinion objects have in common with the unifying opinion objects at least one of an entity object, a subject object, and an opinion word object.

6. The computer-implemented method of claim 4, further comprising receiving a response from the one or more user devices over said data network, wherein the response is based on the set of opinion results.

7. The computer-implemented method of claim 1, further comprising determining cosms based on an aggregation of unifying opinion objects.

8. The computer-implemented method of claim 7, wherein the cosms are structured according to a structure of the unifying opinion objects.

9. The computer-implemented method of claim 1, wherein the unifying opinion objects have a structure selected from the group comprising:

(1) status structure;

(2) intent structure;

(3) property structure; and

(4) connection structure.

10. The computer-implemented method of claim 1, wherein mapping the electronic opinion data to unifying opinion objects further comprises identifying verbs, adjectives, conjunctions, and noun phrases in the electronic opinion data.

11. The computer-implemented method of claim 1, wherein the natural language is English.

12. The computer-implemented method of claim 1, wherein the electronic opinion data includes fragments of sentences of the natural language.

13. The computer-implemented method of claim 1, wherein the opinion data is received from a plurality of Web-based social networking platforms.

14. The computer-implemented method of claim 1, wherein said receiving electronic opinion data further comprises scanning at least one Web page, and wherein said mapping the electronic opinion data further comprises spotting entity objects from the at least one Web page based on a context of the electronic opinion data.

15. The computer-implemented method of claim 1, wherein the electronic opinion data is selected from the group comprising:

(1) uniform resource locators (“

URLs”

);

(2) graphics files;

(3) video files; and

(4) audio files.

16. A network-based system for analyzing electronic opinion data in an opinion network comprising:

an opinion capture server accessible over a data network;

one or more user devices configured to access opinion-enhanced Web services over said data network;

a computer program product operatively coupled to the opinion capture server, the computer program product having a computer-usable medium having a sequence of instructions which, when executed by a processor, causes said processor to execute a process that analyzes electronic opinion data, said process comprising;

receiving electronic opinion data from the one or more user devices, wherein the electronic opinion data includes words of a natural language;

mapping the electronic opinion data to unifying opinion objects, wherein the unifying opinion objects are provided as a controlled natural language and include entity objects, opinion word objects, and subject objects, each of the opinion word objects being descriptive of at least one of the entity objects, and representing an opinion of at least one of the subject objects; and

providing a presentation to the one or more user devices over said data network, wherein the presentation includes at least one portion corresponding to at least one of said unifying opinion objects.

17. The network-based system of claim 16, wherein the process further comprises ranking the unifying opinion objects in an opinion graph, wherein the opinion graph represents directional relationships between the subject objects and entity objects.

18. The network-based system of claim 16, wherein the process further comprises receiving a response from the one or more user devices over said data network with respect to the electronic opinion data.

19. The network-based system of claim 18, wherein the response is selected from the group comprising:

(1) agreement;

(2) disagreement;

(3) questions; and

(4) comments.

20. The network-based system of claim 16, wherein the opinion word object is selected from a suggested set of predefined opinion word objects.

21. The network-based system of claim 20, wherein the suggested set of predefined opinion word objects is personalized based on an aggregation of unifying opinion objects.

22. The network-based system of claim 16, further comprising a natural language processor operatively coupled to the opinion capture server, wherein the natural language processor is configured to identify the opinion word objects and entity objects from the unifying opinion objects.

23. The network-based system of claim 22, wherein the natural language processor is configured to identify the opinion word objects and entity objects based on a context of the electronic opinion data.

24. The network-based system of claim 16, wherein the presentation includes suggested unifying opinion objects based on the electronic opinion data.

25. The network-based system of claim 16, wherein the process further comprises determining cosms based on an aggregation of unifying opinion objects.

26. The network-based system of claim 16, wherein the computer program product corresponds to a dashboard widget.

27. The network-based system of claim 26, wherein the presentation includes a natural language description of the subject objects based on the opinion word objects and entity objects.

28. The network-based system of claim 26, wherein the opinion word objects are characterized as positive, negative, or neutral;

and wherein the presentation includes a grouping of the entity objects having the most average positive or average negative opinion word objects.

29. The network-based system of claim 26, wherein the opinion word objects are characterized as positive, negative, or neutral;

and wherein the presentation includes the entity objects having at least a predefined number of both positive opinion word objects and negative opinion word objects.

30. The network-based system of claim 26, wherein the opinion word objects are characterized as positive, negative, or neutral;

and wherein the presentation includes the entity objects having at least a predefined number of both positive opinion word objects and negative opinion word objects and wherein the count of the positive opinion word objects outweigh the negative opinion word objects by a threshold polarity count.

31. The network-based system of claim 26, wherein the opinion word objects are characterized as positive, negative, or neutral;

and wherein the presentation includes the entity objects having at least a predefined number of both positive opinion word objects and negative opinion word objects and wherein the count of the negative opinion word objects outweigh the positive opinion word objects by a threshold polarity count.

32. The network-based system of claim 26, wherein the opinion word objects are characterized as positive, negative, or neutral;

and wherein the presentation includes the entity objects having the most number of both positive opinion word objects and negative opinion word objects.

33. The network-based system of claim 26, wherein the process further comprises receiving at least one response from the one or more user devices over said data network with respect to the electronic opinion data, and wherein the presentation includes the entity objects of the electronic opinion data having the most number of the at least one response.

34. The network-based system of claim 26, wherein the presentation includes the most frequently used opinion word objects and the corresponding entity objects described.

35. The network-based system of claim 26, wherein the process further comprises receiving at least one response from the one or more user devices over said data network with respect to the electronic opinion data, the one or more user devices each correspond to a subject object;

wherein the at least one response is selected from the group comprising;

(1) agreement;

(2) disagreement;

(3) questions; and

(4) comments; and

wherein the presentation includes the subject objects with the most agreements.

36. The network-based system of claim 26, wherein the opinion word objects are characterized as positive, negative, or neutral;

and wherein the presentation includes the entity objects having both of the positive opinion word objects and the negative opinion word objects for a single subject object.

37. The network-based system of claim 26, wherein the dashboard widget is disposed at a third-party Web site.

38. The network-based system of claim 37, wherein the process further comprises notifying the one or more user devices over said data network if the unifying opinion objects are published on the third-party Web site.