|
|
|
This is the preliminary program for the 2006 Joint Statistical
Meetings in Seattle, Washington.
|
|
|
The views expressed here are those of the individual authors and not necessarily those of the ASA or its board, officers, or staff. Back to main JSM 2006 Program page |
= Applied Session,
= Theme Session,
= Presenter, Sheraton Seattle Hotel & Towers = “S”| CE_07C | Sun, 8/6/06, 8:30 AM - 5:00 PM | CC-309 |
| Text Mining - Continuing Education - Course | ||
|
The ASA, Section on Statistical Computing |
||
| Instructor(s): David Madigan, Rutgers University, David D. Lewis, David D. Lewis Consulting LLC | ||
|
This course will provide an overview of the arsenal of statistical and computational advances available, examining both statistical methods that pertain to textual data and language processing techniques that play a vital role in successful text mining. The course will present examples and case studies while attempting to provide an overarching framework that focuses on the connection between textual artifacts and real-world entities. We will describe "mainstream" text mining applications, but will focus on concepts and algorithms, rather than specific commercial software. Prerequisites include knowledge of basic statistical techniques and elementary probability. Familiarity with Introduction to the Practice of Statistics by Moore and McCabe or a similar text would suffice. Course attendees are expected to be familiar with the topic at the level of: |
||
|
JSM 2006
For information, contact jsm@amstat.org
or phone (888) 231-3473. If you have questions about the Continuing Education program,
please contact the Education Department. |