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TZID:America/Chicago
BEGIN:DAYLIGHT
DTSTART:20270314T030000
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:CDT
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DTSTART:20261101T010000
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BEGIN:VEVENT
DTSTAMP;TZID=America/Chicago:20260830T143453
UID:224266@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20261103T130000
DTEND;TZID=America/Chicago:20261103T143000
DESCRIPTION:How do you compare a thousand documents at once? This session c
 overs the core methods for turning text into structured data you can count
 \, compare\, and model: bag-of-words representations\, term frequency–in
 verse document frequency (TF-IDF)\, and measures of similarity. We'll work
  through hands-on examples and look at how the size of a collection change
 s what analysis can reveal — along with what these methods necessarily l
 eave out\, and how they connect to modern language AI.\n\nCONTACT: brady.k
 rien@wisc.edu
LOCATION:231 Memorial Library
SUMMARY:The Math of Meaning—Counting and Modeling Textual Data
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