I love the creative approach you’ve taken to visualize the “shape” of stories using embeddings and UMAP! It’s a fascinating way to blend narrative and AI, and your references to Kurt Vonnegut’s theory really highlight the potential of this approach.
I’d be curious to know—how did you select UMAP over other dimensionality reduction techniques like t-SNE? And do you see this visualization method being used for more complex, longer stories, or perhaps even other narrative structures like movies or episodic series?
Looking forward to seeing more explorations like this!
Hi Nutanc,
I love the creative approach you’ve taken to visualize the “shape” of stories using embeddings and UMAP! It’s a fascinating way to blend narrative and AI, and your references to Kurt Vonnegut’s theory really highlight the potential of this approach.
I’d be curious to know—how did you select UMAP over other dimensionality reduction techniques like t-SNE? And do you see this visualization method being used for more complex, longer stories, or perhaps even other narrative structures like movies or episodic series?
Looking forward to seeing more explorations like this!
Best,
Jenni
We did try PCA, but UMAP showed a clearer structure. Will be exploring t-SNE and other approaches and share here.
Amazing.
Wow