|
Activity Number:
|
171
|
|
Type:
|
Invited
|
|
Date/Time:
|
Monday, August 4, 2008 : 2:00 PM to 3:50 PM
|
|
Sponsor:
|
Section on Statistical Computing
|
| Abstract - #300423 |
|
Title:
|
Deriving Marketing Intelligence from Online Discussion
|
|
Author(s):
|
Natalie Glance*+
|
|
Companies:
|
Google - Pittsburgh
|
|
Address:
|
4720 Forbes Avenue, Pittsburgh, PA, 15213,
|
|
Keywords:
|
|
|
Abstract:
|
Weblogs and message boards provide online forums for discussion that record the voice of the public. Woven into this mass of discussion is a wide range of opinion about consumer products, movies and other topics. This presents an opportunity for companies to understand and respond to the consumer by analyzing this unsolicited feedback. Given the volume, format and content of the data, the appropriate approach to understand this data is to use large-scale web and text data mining technologies.
|
- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
Back to the full JSM 2008 program |
