A team of students led by a data scientist at NetApp developed the means to evaluate technical documentation through machine learning techniques. Students identified features of language and documents that can be used to demonstrate how effective that documentation is at communicating technical specifications. Additionally, students applied machine learning methods across a large corpus of documents to see if these methods can scale. This work provided students with the Natural Language Processing and machine learning skills to leverage cutting-edge language models in evaluating real-life problems with documentation.
Project Lead: Grant Glass
Project Manager: Chris Ritter
View the team’s project poster here: Team 8
View the team’s project video here:
