In the summer of 2021, Critical Inquiry published my article on the ways in which computation and interpretation interface in contemporary literary scholarship.
The article was accompanied by a recommendation system that allowed a reader to wander through intertextual associations suggested by prior scholarship, in the form of citations/quotations of lines from the Shakespearean dramatic corpus, as captured by JSTOR Labs’ fuzzy n-gram matching of Folger’s digital texts to JSTOR’s OCR’d library.
I took the time to rewrite that Flask application so that it would run on a MySQL db service hosted with an Elastic Beanstalk app on AWS. However, that db was slow, expensive, and constantly threw errors.
So the app has now been refactored more or less back to its original state, to use SQLite, making it more performant and reliable and less expensive on AWS: http://theshakespearegame.rice.edu/
It is also more portable, so you can get it running on your own system if you want in about 5 minutes: https://github.com/johnMulligan/theshakespearegame — email me if you need help with the code or just want to talk about the quantification of aesthetics %)