Courses
EDS 231
Text and Sentiment Analysis for Environmental Problems
Instructors:
Mateo Robbins
Units: 2
Description
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 2024
Recommended Preparation
Intermediate experience with R, Rstudio, and GitHub
Completion of EDS 232 or other course work in machine learning
