Applied NLP: Using and Understanding Language Models and AI for Text Analysis

3 credits · Graduate

This course investigates the use of digitized texts through the application of Natural Language Processing methodologies and Language Models. We will discuss what sorts of qualitative and quantitative questions can be addressed by approaching text as data as well as some of the challenges and opportunities of using different sources of text (from social media posts to political prose to historical texts) as data. The course will cover NLP methodologies appropriate for different corpora. Different texts require specialized approaches to bridge the gap between natural language and analysis-ready data. Students will learn to prepare and analyze complex corpora for natural language processing. This class prioritizes application and interpretation of NLP methodologies and results.