SpaCy is a free, open-source library for advanced Natural Language Processing (NLP) in Python. It can be used to build information extraction or natural language understanding systems, or to pre-process text for deep learning. In this workshop, Dr. Andrew Janco (Digital Scholarship Librarian, Haverford College) will provide an introductory tutorial on using spaCy for Digital Humanities projects.
Andrew Janco is a Digital Scholarship Librarian at Haverford College. He completed his Ph.D. at the University of Chicago and held post-docs at the University of Chicago's Pozen Family Center for Human Rights and the Human Rights Institute at the University of Connecticut. He recently completed his M.S. in Library and Information Science at the University of Illinois Urbana-Champaign.
Dr. Janco has a passion for inquiry-driven and community-engaged digital projects. He is one of the lead developers working on a digital archive and research application for the Groupo de Apoyo Mutuo; Guatemala's oldest human rights organization. He also works on applied machine learning for Humanities and Social Science research.