CS 6742
Last Updated
- Schedule of Classes - January 9, 2020 9:13AM EST
- Course Catalog - January 9, 2020 9:14AM EST
Classes
CS 6742
Course Description
Course information provided by the 2019-2020 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/Corequisites Prerequisite: CS 2110 or equivalent programming experience, a course in artificial intelligence or any relevant subfield (e.g., NLP, information retrieval, machine learning).
Permission Note Enrollment limited to: Ph.D. and MS students.
When Offered Fall.
Regular Academic Session. Combined with: INFO 6742
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Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
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Class Number & Section Details
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Meeting Pattern
- TR Upson Hall 146
Instructors
Danescu-Niculescu-Mizil, C
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Additional Information
Instruction Mode: In Person
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