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DTSTART:20250606T160000Z
DTEND:20250606T180000Z
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SUMMARY:Pre-Trained Open Source Tools for Document Classification & 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 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-14212654
URL:https://calendars.library.ucsf.edu/event/14212654
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