[MNASIS-L] MN SLA Chapter hosts the November 29th SLA virtual seminar: Text mining - part 2

[Janet Arth]

The Minnesota Chapter will host the November 29th  SLA Virtual Seminar, 
"Text mining, part 2:  Case studies & implementation map"

Date:  Tuesday, November 29, 2005

Time:  1:00pm - 2:30pm CT  (plan to arrive a few minutes early, because the 
seminar starts promptly at 1pm)

Location:
    Northwest Area Foundation located on the 4th floor of the Drake Building)
    60 Plato Blvd.   Suite 400
    St. Paul, MN  55107

Your host:  Melissa Yauk

Directions: 
http://www.mapquest.com/maps/map.adp?searchtype=address&formtype=search&countryid=250&addtohistory=&country=US&address=60+Plato+Blvd+E&city=Saint+Paul&state=MN&zipcode=55107-1827&historyid=&submit=Get+Map

Cost:  $10 for SLA/ASIST members:  $15 for non-members  (Please make your 
check payable to "Minnesota Chapter SLA" and bring it with you to the seminar.)

How to register:  Send the registration form shown below to Jim Tchobanoff 
(jtchobanoff at bigfoot.com) or call Jim at 651 636-3738.  Space is limited, 
so register ASAP.

Registrations will be handled in the order received and a confirmation 
message will be sent.

Please Note:  If you register, you are obligated pay for your seminar 
attendance, whether or not you show up on the 15th.

*********************************************

November 29th Virtual Seminar Registration Form:


Name:


Phone number:


SLA/ASIST member:  yes  no


Do you need a receipt:  yes  no


******************************
Thanks to Melissa Yauk at Northwest Area Foundation for hosting the seminar.

Any questions, call Jim at 651 636-3738 or send an email 
(jtchobanoff at bigfoot.com)

Jim Tchobanoff

Seminar information follows:
******************************
Text Mining

Part II
Case Studies and Implementation Roadmap

November 29, 2005
1:00 pm - 2:30 pm CT

Description
Text mining applies linguistic and statistical analyses to textual data 
(e-mail, documents, forms, transcribed audio, and the like) to automate 
processing and derive predictive power from previously untapped information 
sources. It builds on content management and search technologies to help 
enterprises move beyond knowledge management to knowledge analytics.

Part II will present case studies and an implementation roadmap.

Attendees will understand the business problems text mining can solve; 
learn how text mining software integrates with and complements content 
management, search, and business intelligence technologies; and survey best 
practices for evaluating and implementing text mining solutions.

Virtual Learning Series Speaker
<http://www.sla.org/content/learn/learnmore/distance/2005virtsem/111505vls/grimesbio.cfm>Seth 
Grimes, Alta Plana Corporation