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VERSION:2.0
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CALSCALE:GREGORIAN
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TZID:America/Chicago
BEGIN:DAYLIGHT
DTSTART:20260308T030000
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
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TZNAME:CDT
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DTSTART:20261101T010000
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BEGIN:VEVENT
DTSTAMP;TZID=America/Chicago:20260831T160430
UID:224265@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20261020T130000
DTEND;TZID=America/Chicago:20261020T143000
DESCRIPTION:Before text can be analyzed computationally\, it has to be take
 n apart — split into pieces\, normalized\, stripped of noise. This sessi
 on introduces the preprocessing behind nearly all text analysis: tokenizat
 ion\, lemmatization\, stemming\, and stop word removal. We'll also disting
 uish this sense of "token" from how the word is used in large language mod
 els\, a difference that reveals a lot about both. You'll leave understandi
 ng not just how to prepare text\, but what each choice quietly decides.\n\
 nCONTACT: brady.krien@wisc.edu
LOCATION:231 Memorial Library
SUMMARY:What's in a Word—Breaking Texts and Making Data
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