INFO 6742

INFO 6742

Course information provided by the Courses of Study 2021-2022.

More and more of life is now manifested online, and many of the digital traces that are left by human activity are increasingly recorded in natural-language format. This research-oriented course examines the opportunities for natural language processing to contribute to the analysis and facilitation of socially embedded processes. Possible topics include sentiment analysis, learning social-network structure, analysis of text in political or legal domains, review aggregation systems, analysis of online conversations, and text categorization with respect to psychological categories.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: CS 2110 or equivalent programming experience, a course in artificial intelligence or any relevant subfield (e.g., NLP, information retrieval, machine learning).

View Enrollment Information

  •   Regular Academic Session.  Combined with: CS 6742

  • 3 Credits GradeNoAud

  • 11106 INFO 6742   LEC 001

  • Instruction Mode: In Person
    Seats are restricted to CS and IS PhD students and CS MS students. See enrollment webpage for details: