austincap / alwayssunny Goto Github PK

Hey there!

I actually had the same idea for doing analysis on Always Sunny episodes but stalled out almost immediately in the data collection process. One of the things that I thought would've been really cool would be to track the "allegiances" of the gang to see who was pairing up with whom and who was the most likely to double cross each other. That proved to be really hard to keep track of because what they were aligning themselves over was changing over the course of the episode.

Have you thought of trying to do any unsupervised learning on your data such as kmeans or NMF? Could be cool to see how the episodes group together based on what is happening. Anyway, I'm glad someone had the initiative to get past the data collection part and make some visualizations.

I also saw you manually coded up a neural network, have you looked into something like Keras? It would run a lot faster, but the amount of data is still woefully small to be using a net with.

Best,
Erich