[MNASIS-L] MN SLA Chapter hosts the November 15th SLA Virtual Seminar -- Text mining, part 1: unlocking knowledge from text
Janet Arth
arth at tc.umn.edu
Wed Nov 9 15:33:54 EST 2005
The SLA Minnesota Chapter will host the November 15th SLA Virtual Seminar,
"Text mining, part 1: Unlocking knowledge from text"
Date: Tuesday, November 15, 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 that if you register, you are obligated pay for your seminar
attendance, whether or not you show up on the 15th.
*********************************************
November 15th 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 I
Unlocking Knowledge from Text
November 15, 2005
2:00 pm - 3:30 pm ET
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 I of this two-part seminar will discuss business contexts and examine
foundation technologies.
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
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