• Lecture time: Thursday: 12:30:00 - 13:20:00 ET
  • Lab time: Tuesday: 11:30:00 - 13:20:00 ET
  • Domain: Agriculture
  • Keywords: Clustering, Feature Extraction, NLP, Text Classification
  • Tools: Data Cleansing, Data Exploration, JMP/SAS, Python, Pytorch, R, Tensorflow, Web-scraping
  • Citizenship: Open to all students
Summary

1) Identify meta-level grouping factors/characteristics via text mining from relevant agronomic/biotech literature to map/reduce the variety naming space and better support agronomic insights. 2) Use NLP techniques to clean up the variety names.

Description

Please see the PDF for a detailed project description. When registering for this project in UniTime, look for 'John Deere 2 - Crop Text' in the Note section, and select the appropriate CRN.