Systems and methods for developing intelligence from information existing on a network

• US 20060053156A1
• Filed: 09/06/2005
• Published: 03/09/2006
• Est. Priority Date: 09/03/2004
• Status: Abandoned Application

• Current Assignee: J.D. Power and Associates, Inc.
• Original Assignee: J.D. Power and Associates, Inc.
• Inventors: Kremer, Ted V., Kaushansky, Howard, Howlett, David B.
• Application Number:
  US11/219,975
• Publication Number:
  US 20060053156A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/338 Presentation of query results
• CPC Class Codes: G06F 16/358 Browsing; Visualisation therefor

Abstract

Systems and methods for analysis and generating reports presenting analysis involving capturing unstructured data from online information services. Speaker attributes and semantic attributes associated with items of the captured data are determined. The captured data, speaker attributes, and semantic attributes are analyzed to generate processed information based on the captured data. A report is generated to present the processed information.

Claims

1. A method of generating intelligence from online data comprising:

capturing data from online information services;

determining speaker attributes associated with items of the captured data;

determining semantic attributes of the captured data; and

analyzing the captured data, speaker attributes, and semantic attributes to generate processed information based on the captured data

2. The method of claim 1 further comprising generating a report presenting the processed information.

3. The method of claim 1 wherein capturing comprises using a web crawler.

4. The method of claim 1 wherein the data comprises unsolicited opinion data.

5. The method of claim 1 wherein the act of determining speaker attributes comprises determining one or more attributes from the group consisting of:

gender, age, income, ethnicity, sexual preference, education, and political preference.

6. The method of claim 1 wherein the act of determining speaker attributes comprises determining a role and/or area of expertise of the speaker.

7. The method of claim 1 wherein the act of analyzing comprises analyzing unique voices reflecting a frequency distribution of speakers within the captured data.

8. The method of claim 1 wherein the act of analyzing comprises analyzing new voices contributing opinions in the captured data.

9. The method of claim 1 wherein the act of determining semantic attributes comprises identifying a topic to which the message pertains.

10. The method of claim 1 wherein the act of determining semantic attributes comprises identifying whether the tone of the message is positive or negative with respect to a topic to which the message pertains.

11. The method of claim 1 wherein the act of analyzing comprises cluster analysis.

12. The method of claim 1 wherein the act of analyzing comprises identifying influential speakers.

13. The method of claim 1 wherein the act of analyzing comprises identifying influencable speakers.

14. An automated service for providing market research reports, wherein the service implements the method of claim 1.

15. The method of claim 1 wherein the information services comprises one or more services selected from the group consisting of:

weblogs, web sites, chat rooms, message boards, Usenet groups, electronic mail, instant messaging (IM), podcasts, as well as video streams, audio streams and the like that have been transformed to a textual representation.

16. A method of collecting information from online sources comprising:

aggregating unsolicited data from a variety of sources;

associating each item of unsolicited data with a pointer to a particular one of the variety of information sources in which the item of unsolicited data appears;

identifying speaker attributes from the item of unsolicited data; and

associating the identified speaker attributes with the item of unsolicited data.

17. The method of claim 16 wherein the act of identifying speaker attributes comprises determining gender of the speaker.

18. The method of claim 16 wherein the act of identifying speaker attributes comprises determining one or more attributes selected from the group consisting of:

age, gender, income, ethnicity, sexual preference, education and political preference.

19. The method of claim 16 wherein the act of identifying speaker attributes comprises determining a role and/or area of expertise of the speaker.

20. The method of claim 16 further comprising identifying semantic attributes identifying a topic to which the message pertains.

21. The method of claim 20 wherein the act of identifying semantic attributes comprises identifying whether the tone of the message is positive or negative with respect to a topic to which the message pertains.

28. The method of claim 19 wherein the report request comprises a “

live”

request made immediately by a user,

22. A method of analyzing data from online data sources comprising:

identifying one or more topics within the data, wherein each topic is associated with a number of message items within the data;

associating each of the number of messages with speaker attribute information;

receiving a report request identifying one of the one or more topics; and

identifying a subset of the number of message items that satisfy a preselected criteria.

23. The method of claim 22 wherein the act of identifying a subset further comprises identifying message items having sufficient semantic proximity to a request-specified feature.

24. The method of claim 23 wherein the act of identifying a subset further comprises identifying messages within each subset that are semantically close to a request-specified attribute.

25. The method of claim 23 further comprising determining whether a message is associated with an influential speaker as compared to other messages.

26. The method of claim 23 further comprising determining whether a message is associated with a unique voice as compared to other messages.

27. The method of claim 23 further comprising determining whether a message is associated with a new voice as compared to other messages.

29. The method of claim 22 wherein the report request comprises or a stored request that runs periodically.

30. The method of claim 22 wherein the report request identifies one or more topics, features of interest within that topic, and attributes of interest within features.