Text Analysis in Python

Name: Text Analysis in Python
Start: 2026-11-05T23:00:00+00:00
End: 2026-11-06T00:30:00+00:00
Location: Green Library, Bing Wing Velma Denning Room (120F)

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When: Thursday, November 5, 20263:00 PM – 4:30 PM PSTAdd to calendar Google Calendar
Where: Green Library, Bing Wing Velma Denning Room (120F)459 Lasuen Mall, Stanford, CA 94305Open in Maps
Hosted by: Research Data Services (RDS)

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Computer Science & Tech

About

Date and Time: 3:00–4:30PM, Thursday, November 5, 2026Location: Velma Denning Room (120F), Green LibraryLead Instructor: Jooyeon Hahm (Head of Data Science Training & Consultation)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.

Please register to attend. Registration is exclusively open to current Stanford affiliates and will be offered on a first-come, first-served basis. For those attending the in-person event, please bring your Stanford ID card or mobile ID to enter the library.

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