CS 6742

CS 6742

Course information provided by the 2025-2026 Catalog.

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.


Prerequisites REF-FA25/Corequisites REF-FA25 CS 3110 or equivalent programming experience, a course in artificial intelligence or any relevant subfield (e.g., NLP, information retrieval, machine learning). Corequisites: None.

Enrollment Priority REF-FA25 Enrollment limited to: Ph.D. and MS students.

Last 4 terms offered (None)

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Syllabi: none
  •   Regular Academic Session.  Combined with: INFO 6742

  • 3 Credits Graded

  •  9237 CS 6742   LEC 001

    • T
    • Aug 25 - Dec 8, 2025
    • Danescu-Niculescu-Mizil, C

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/