About

Statistics 653: Statistical Statistical Natural Language Processing (2 units)

Course Description:

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:

Entirely On-ground, or Entirely Online, or Hybrid.

Grading:

A-F or CR/NC (student choice).

Student Learning Outcomes

Upon successful completion of this course students will be able to:

  1. Use software to learn from data.
  2. Critically evaluate learning models.
  3. Extract data from large data source to learn from data.
  4. Create reproducible reports.