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:
- Use software to learn from data.
- Critically evaluate learning models.
- Extract data from large data source to learn from data.
- Create reproducible reports.