Text and Sentiment Analysis for Environmental Problems

Catalog description

Covers foundations and applications of natural language processing. Problem sets and class projects 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 builds capacity and experience in common tools, including text processing and classification, semantics, and natural language parsing.