Introduction to Natural Language Processing

3 credits · Graduate

Introduction to the rich opportunities for using textual data produced by websites, social media platforms, digitization of administrative and historical records, and new monitoring technologies to gain insights and make decisions. Accessing textual data through web scraping and application programming interfaces (APIs), preparing these data for analysis, applying modern natural language processing (NLP) techniques, parsing unstructured text using regular expressions implementing end-to-end NLP. Open only to Interdisciplinary Data Science students.