Shaham's

A Natural Language Processing (NLP) approach to automatically detect connections through key entities and ideas across articles/documents. I analyzed a set of philosophy articles to see which Entities related them to each other and if this could guide our choice of reading.

A NLP Sentiment Analysis across chapters of a novel (The Catcher in the Rye) to capture patterns and trends as an enhancement to literary analysis. Used IBM's Bluemix and Watson APIs and wrote an essay on the pros/cons of this approach.