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X-WR-TIMEZONE:America/Los_Angeles
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BEGIN:VEVENT
DTSTART:20260612T160000Z
DTEND:20260612T180000Z
DTSTAMP:20260612T000000Z
SUMMARY:Pre-Trained Open Source Tools for Document Classification and Sentiment Analysis
DESCRIPTION:In this workshop\, you’ll learn how to use pre-trained open 
 source tools for document classification and sentiment analysis. Rather 
 than building custom models from scratch\, you'll explore how to apply 
 existing models using libraries like Hugging Face's Transformers and SpaCy. 
 You’ll gain experience in working with these tools to process text data 
 and perform classification or sentiment analysis with minimal setup. This 
 session will show you how to effectively apply pre-trained models for text 
 analysis tasks.\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-16448800
URL:https://calendars.library.ucsf.edu/event/16448800
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