System and method for collection and analysis of electronic discussion messages

• US 7,188,078 B2
• Filed: 09/28/2005
• Issued: 03/06/2007
• Est. Priority Date: 10/11/2000
• Status: Expired due to Term

• Current Assignee: Buzzmetrics, Ltd. (Nielsen Holdings plc)
• Original Assignee: Buzzmetrics, Ltd. (Nielsen Holdings plc)
• Inventors: Holtzman, David, Arnett, Nicholas D., Pool, David
• Primary Examiner(s): MEINECKE DIAZ, SUSANNA M
• Application Number:
  US11/239,632
• Publication Number:
  US 20060080161A1
• Time in Patent Office: 524 Days
• Field of Search: 705/10
• US Class Current: 705/7.31
• CPC Class Codes: G06F 21/31 User authentication
• CPC Class Codes: G06F 21/6254 by anonymising data, e.g. decorrelating personal data from the owner's identification
• CPC Class Codes: G06F 2221/2117 User registration
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: G06Q 30/0204 Market segmentation
• CPC Class Codes: H04L 51/216 Handling conversation history, e.g. grouping of messages in sessions or threads
• CPC Class Codes: H04L 63/0407 wherein the identity of one or more communicating identities is hidden cryptographic mechanisms or cryptographic arrangements for anonymous credentials or for identity based cryptographic systems H04L9/00
• CPC Class Codes: H04L 65/1101 Session protocols
• CPC Class Codes: H04L 9/40 Network security protocols

Abstract

A system and method for collecting and analyzing electronic discussion messages to categorize the message communications and the identify trends and patterns in pre-determined markets. The system comprises an electronic data discussion system wherein electronic messages are collected and analyzed according to characteristics and data inherent in the messages. The system further comprises a data store for storing the message information and results of any analyses performed. Objective data is collected by the system for use in analyzing the electronic discussion data against real-world events to facilitate trend analysis and event forecasting based on the volume, nature and content of messages posted to electronic discussion forums.

Claims

1. A system for processing message traffic in a plurality of electronic discussion forums, comprising:

a message collector for collecting messages from the plurality of electronic discussion forums;

a message processor for processing the messages according to a series of topics, wherein the message processor processes a message to compute a numerical relevance of the message to at least one topic from the series of topics on a numerical scale; and

a data analyzer for tracking message content posted by a plurality of pseudonyms and the roles of individual participants using the pseudonyms posting in the plurality of electronic discussion forums over time based on the processing of the messages;

wherein the data analyzer is adapted to receive market data describing market events related to the series of topics;

wherein the data analyzer is adapted to process the market data in order to identify correlations or trends for future market events based on a community mood measurement and the community mood measurement is based on a number of new posting pseudonyms compared to a number of old posting pseudonyms for a specific topic.

2. The system of claim 1, wherein the market data comprises stock data.

3. The system of claim 1, wherein the market data comprises box office sales.

4. The system of claim 1, wherein the market data comprises television market shares.

5. The system of claim 1, wherein the data analyzer is adapted to process the market data in order to identify correlations or trends for future market events based on the tracked pseudonyms.

6. The system of claim 1, wherein the data analyzer is adapted to process the market data in order to identify correlations or trends for future market events based on both the tracked pseudonyms and a community mood measurement.

7. The system of claim 1, wherein the community mood measurement is based on changes in discussion levels for a specific topic.

8. A method for processing message traffic in a plurality of electronic discussion forums, comprising the steps of:

collecting messages from the plurality of electronic discussion forums;

processing the messages according to a series of topics and computing a numerical relevance of the messages to at least one topic from the series of topics on a numerical scale;

tracking message content posted by a plurality of pseudonyms and the roles of individual participants using the pseudonyms posting in the plurality of electronic discussion forums over time based on the processing of the messages; and

receiving market data describing market events related to the series of topics;

processing the market data in order to identify correlations or trends for future market events based on a community mood measurement and the community mood measurement is based on a number of new posting pseudonyms compared to a number of old posting pseudonyms for a specific topic.

9. The method of claim 8, wherein the market data comprises stock data.

10. The method of claim 8, wherein the market data comprises box office sales.

11. The method of claim 8, wherein the market data comprises television market shares.

12. The method of claim 8, further comprising the step of processing the market data in order to identify correlations or trends for future market events based on the tracked pseudonyms.

13. The method of claim 8, further comprising the step of processing the market data in order to identify correlations or trends for future market events based on both the tracked pseudonyms and a community mood measurement.

14. The method of claim 8, wherein the community mood measurement is based on changes in discussion levels for a specific topic. topics;

wherein the data analyzer is adapted to process the market data in order to identify correlations or trends for future market events based on a community mood measurement and the community mood measurement is based on a number of new posting pseudonyms compared to a number of old posting pseudonyms for a specific topic.