STAT 653 - Statistical Natural Language Processing

Units: 2
Statistical topics used for processing natural language. Text wrangling and cleaning. Creating a word list corpus. Text classification. Web scraping. Social media mining. Data products. Report writing.

Prerequisites: Post-baccalaureate standing.
Possible Instructional Methods: On-ground, or Hybrid or Online-Asynchronous.
Grading: A-F grading only.
Course Typically Offered: Spring ONLY

Student Learning Outcomes - Upon successful completion of this course students will be able to:

use software to classify text data.
critically evaluate models for classifying text data.
extract data from large data source to learn from data.
create reproducible reports.