Text Analysis with Python, Part I: Learn how to use the natural language toolkit
Group Spot B
This workshop is an introduction to Natural Language Processing (NLP) with Python. Attendees will learn to use the Natural Language Tool Kit (NLTK) Python code library to analyze texts. Topics covered will include the fundamentals of the NLP pipeline, such as tokenization, stemming, and lemmatization; named entity recognition (NER); and word frequency analysis. We will learn how to prepare a text for Python analysis, how to open text files with Python, how to install the NLTK library, how to use NLTK for text analysis, and how to read and save the results.
Presenter
Javier Ruedas is an Information Specialist at UTSA Libraries. Javier has extensive experience in programming and web development, and five years of experience as a web development instructor. He has a master's degree in information studies from UT Austin and a PhD in anthropology from Tulane University. He loves to demystify coding for nontechnical audiences.