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Python for Text Analysis

As one of the most popular, versatile, and beginner-friendly programming langauges, Python can be used for a variety of tasks from analyzing data to building websites.

This workshop builds on the previous workshops to analyze text-based data. Participants will practice writing code that manipulates, extracts, and analyzes text data using the spaCy library for Natural Language Processing. We will work within a hands-on and group learning environment. No familiarity with Python is required, but it is recommended that participants attend the previous workshops in the series and/or review the materials from those workshops.

This session is the fourth in a five-part series that builds basic skills in Python programming toward working with text-based data in PUL's collections. Other workshops in the series include "Introduction to Python for Working with Text" (February 8), "Python for Web Scraping and APIs" (February 16), "Python for Text Cleaning" (March 6), and "Python for Machine Learning: Text Generation" (April 25). Materials from all workshops will be made available for those who cannot attend.

Thursday, April 11, 2024
10:00am - 12:00pm
Firestone Library - A-6-F
Firestone Library
  Princeton Faculty/Researcher     Princeton Staff     Princeton Student  
  Data & Computation  
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