Machine Learning and Evaluating Technical Documentation


A team of students led by a data scientist at NetApp will develop means to evaluate technical documentation through machine learning techniques. Students will identify features of language and documents that can be used to demonstrate how effective that documentation is at communicating technical specifications. Additionally, students will also apply machine learning methods across a large corpus of documents to see if these methods can scale. This work will provide 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



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