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BEGIN:VEVENT
DTSTART:20251114T170000Z
DTEND:20251114T190000Z
DTSTAMP:20251114T000000Z
SUMMARY:Document Topic Modeling with Python
DESCRIPTION:This workshop will introduce topic modeling\, a common natural 
 language processing technique used to identify topics within a collection 
 of documents. Participants will use Python\, scikit-learn and Gensim to 
 identify hidden patterns and topic clusters within a series of wide-ranging 
 documents. \n\n \n\nAbout the series\nData and Document Analysis with 
 Python\, SQL\, and AI is designed for UCSF researchers and analysts 
 interested in learning Python for Data Analysis\, with an emphasis on text 
 analysis and UCSF library collections. Each session will involve short mini 
 lectures\, interspersed with hands-on exercises.\n\n\nAbout the 
 instructor\nGeoffrey Boushey is a Data Science Specialist at the UCSF 
 Library. Geoff provides data analysis workshops and consulting sessions for 
 the research community\, with an emphasis on AI tools to extract\, 
 transcribe\, annotate\, and analyze data from digital audio\, video\, and 
 image media. Geoff holds undergraduate degrees in Mathematics and English 
 Literature and an M.S. in Industrial Engineering and Operations Research. 
 \n\n\nAccessibility statement\nUCSF welcomes all participants to our 
 events. If you need a reasonable accommodation to participate in this event 
 because of a disability\, please contact Geoffrey Boushey at 
 geoffrey.boushey@ucsf.edu as soon as possible.
LOCATION:Virtual\, Online
ORGANIZER;CN="Geoffrey Boushey":MAILTO:Geoffrey.Boushey@ucsf.edu
CATEGORIES:Data Science, Programming
CONTACT;CN="Geoffrey Boushey":MAILTO:Geoffrey.Boushey@ucsf.edu
STATUS:CONFIRMED
UID:LibCal-15183969
URL:https://calendars.library.ucsf.edu/event/15183969
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