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EDS 231

Text and Sentiment Analysis for Environmental Problems

Matthew Robbins

Units: 2


This course will cover foundations and applications of natural language processing. Problem sets and class projects will leverage common and emerging text-based data sources relevant to environmental problems, including but not limited to social media feeds (e.g., Twitter) and text documents (e.g., agency reports), and will build capacity and experience in common tools, including text processing and classification, semantics, and natural language parsing.

Course Syllabus: Spring 2023

Recommended Preparation: 
Intermediate experience with R, Rstudio, and GitHub
Completion of EDS 232 or other course work in machine learning

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