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CALSCALE:GREGORIAN
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X-WR-TIMEZONE:America/Los_Angeles
X-PUBLISHED-TTL:PT15M
BEGIN:VEVENT
DTSTART:20260522T160000Z
DTEND:20260522T180000Z
DTSTAMP:20260522T000000Z
SUMMARY:Machine Learning for Document Classification and Sentiment Analysis
DESCRIPTION:Building on the skills from the previous workshops\, this 
 session will extend your understanding of machine learning\, focusing on 
 document classification and sentiment analysis. You’ll apply techniques 
 like Random Forests and feature importance to analyze text data\, including 
 real-world examples such as classifying documents or determining sentiment 
 from textual content. Using scikit-learn\, you’ll learn how to process 
 text data\, extract features\, and build predictive models for analyzing 
 and categorizing text. This workshop provides a practical approach to 
 applying machine learning to text-based problems\, further developing your 
 NLP capabilities.\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-16448792
URL:https://calendars.library.ucsf.edu/event/16448792
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