Starting to think about topic modeling.Here are some resources:
- Topic Modeling with Gensim (Python)
- Topic modeling visualization – How to present the results of LDA models?
- Mastering Unsupervised Learning with Python [Packt Video]
- Text Mining 101: A Stepwise Introduction to Topic Modeling using Latent Semantic Analysis (using Python)
I also want to search the db for the appropriate “from to” text snippet (e.g. “Black moves pawn from e2 to e3”), maybe with a count of the number of times this move was done using that piece
Also, I think it makes sense to have a “fewest hops” (A* – traditional network approach), closest (each step finds the closest node to the target) in addition to the line following algorithm. There will have to be some user testing to see what makes the most sense, if any
The map is based on the single jumps, and shows the big jumps as arcs