INFO 6742

Course information provided by the Courses of Study 2016-2017.

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, spring.

Permission Note Enrollment limited to: PhD students or permission of instructor.
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).

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Enrollment Information
Syllabi: none
  •   Combined with: CS 6742

  • 3 Credits Graded

  • 18390INFO 6742  LEC 001

  • Open to CS/IS PhD. All others by instructor permission during the add/drop period.