INFO 6742
Last Updated
- Schedule of Classes - February 6, 2017 7:14PM EST
- Course Catalog - February 6, 2017 7:15PM EST
Classes
INFO 6742
Course Description
Course information provided by the 2016-2017 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: PhD students or permission of instructor.
When Offered Fall, spring.
Regular Academic Session. Combined with: CS 6742
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Credits and Grading Basis
3 Credits Graded(Letter grades only)
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Class Number & Section Details
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Meeting Pattern
- TR Thurston Hall 202
Instructors
Danescu-Niculescu-Mizil, C
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Additional Information
Instruction Mode: In Person
Open to CS/IS PhD. All others by instructor permission during the add/drop period.
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