DS 807 (01) - Modeling Unstructured Data

Unstructured Data

Durham   Paul College of Business&Econ :: Decision Sciences
Credits: 3.0
Term: Spring 2022 - E-term IV (03/21/2022 - 05/12/2022)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 54918
This course introduces students to statistical and machine learning tools for modeling unstructured data; including emails, documents, text messages, and social media data. Topics to be covered include text mining, clustering, mixture models, deep learning, and topic models. The course integrates numerous applications to demonstrate practical approaches to analyzing large unstructured collections of data. Application areas include Marketing (Yelp and Trip Advisor reviews), Human Resources (health care plan analysis), Social Media (Twitter, YouTube, and Instagram). The course delivery will be a mix of lectures, readings/podcasts with discussion, and hands-on data analysis. Prereq: DS 805.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Instructors: Burcu Eke Rubini

Times & Locations

Start Date End Date Days Time Location
3/21/2022 5/12/2022 M 5:40pm - 9:15pm PBLANE 216