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X-WR-TIMEZONE:America/Los_Angeles
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BEGIN:VEVENT
DTSTART:20250523T160000Z
DTEND:20250523T180000Z
DTSTAMP:20250523T000000Z
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 in person at the UCSF FAMRI Library at Mission Bay and 
 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\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-14212584
URL:https://calendars.library.ucsf.edu/event/14212584
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