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VERSION:2.0
PRODID:-//NextToU//EN
CALSCALE:GREGORIAN
BEGIN:VEVENT
UID:c9003d30-da7c-4c82-b6fd-c7d6a788fe31@nexttoyou
DTSTAMP:20261105T155921Z
DTSTART:20261105T230000Z
DTEND:20261106T003000Z
SUMMARY:Text Analysis in Python
LOCATION:Green Library\, Bing Wing Velma Denning Room (120F)\, 459 Lasuen 
 Mall\, Stanford\, CA 94305
DESCRIPTION:Date and Time: 3:00–4:30PM\, Thursday\, November 5\, 2026Locat
 ion: Velma Denning Room (120F)\, Green LibraryLead Instructor: Jooyeon Ha
 hm (Head of Data Science Training & Consultation)Curious about how to wor
 k with text data using Python? Join us for a practical introduction to te
 xt analysis\, tailored for those new to programming. This workshop will c
 over key techniques\, including text pre-processing\, named entity recogn
 ition\, topic modeling\, and sentiment analysis. No prior Python experien
 ce is necessary. We’ll guide you through foundational Python concepts\, i
 ntroduce essential libraries and modules for text analysis\, and provide 
 hands-on examples to support your learning. This event is a great startin
 g point for discovering the potential of Python in working with text data
 .\n\nPlease register to attend. Registration is exclusively open to curre
 nt Stanford affiliates and will be offered on a first-come\, first-served
  basis. For those attending the in-person event\, please bring your Stanf
 ord ID card or mobile ID to enter the library.\n\nhttp://next-to-u.app/ev
 ents/c9003d30-da7c-4c82-b6fd-c7d6a788fe31
URL:http://next-to-u.app/events/c9003d30-da7c-4c82-b6fd-c7d6a788fe31
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