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X-WR-TIMEZONE:America/Los_Angeles
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BEGIN:VEVENT
DTSTART:20260515T160000Z
DTEND:20260515T180000Z
DTSTAMP:20260515T000000Z
SUMMARY:Python Background for Text Analysis and NLP
DESCRIPTION:This workshop focuses on working with strings and text data in 
 Python\, building the skills needed for text processing and natural 
 language processing (NLP) tasks. You’ll learn how to manipulate\, clean\, 
 and transform text data using techniques like regular expressions\, stop 
 words\, tokenization\, and stemming/lemmatizing. This session will help you 
 become comfortable handling text data in Python\, laying the groundwork for 
 more advanced work in NLP and document analysis.\n\nNote: This workshop 
 will be offered online through UCSF Zoom. You will receive an email from 
 LibCal with room information and Zoom link prior to the start of the 
 workshop. \n\nAccessibility: UCSF 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 by emailing 
 geoffrey.boushey@ucsf.edu as soon as possible.\n\n \n\nWorkshop Series: 
 Data and Document Analysis with Python\, SQL\, and AI\n\nThis series is 
 designed for researchers\, staff\, and students who want to learn Python 
 from the ground up\, focusing on data analysis\, document analysis\, and 
 AI-based research. Throughout the workshops\, we’ll dive into various 
 data types—including numerical data\, health data\, text\, and 
 images/videos—and explore analysis techniques like regression\, 
 classification\, and sentiment analysis. We’ll put a particular focus on 
 text analysis\, especially analyzing documents from our industry document 
 library.\n\nAs programming evolves\, so does the way we learn it. While 
 we’ll introduce AI-assisted programming earlier in the series than in 
 past workshop series\, we’ll still start with the basics. The early 
 workshops (Intro to Python Parts 1 & 2 and Intro to SQL) will use AI 
 sparingly. As the series moves forward\, we’ll dive into topics like web 
 APIs\, text analysis\, natural language processing\, machine learning\, 
 regression\, document analysis\, and AI system interaction\, with more 
 AI-driven techniques along the way.\n \n\n
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-16448770
URL:https://calendars.library.ucsf.edu/event/16448770
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