Curious about how to work with text data using Python? Join us for a practical introduction to text analysis, tailored for those new to programming. This workshop will cover key techniques, including text pre-processing, named entity recognition, topic modeling, and sentiment analysis. No prior Python experience is necessary. We’ll guide you through foundational Python concepts, introduce essential libraries and modules for text analysis, and provide hands-on examples to support your learning. This event is a great starting point for discovering the potential of Python in working with text data, and will inspire you to learn Python to gain even greater insights and capabilities. 

Register here to attend. This workshop is open exclusively to current Stanford affiliates, and registration will be on a first-come, first-served basis. Space is limited, and a waitlist will be available once spots are filled. (Please note: You must be logged in to Google Drive with your SUNet ID to access the registration form.)

• Location: Virtual (A zoom link will be sent to registrants one week before the event.)
• Date and Time: 11:00 AM to 1:00 PM, Tuesday, November 19, 2024
• Lead Instructor: Dr. Jooyeon Hahm, Head of Data Science Training and Consultation