Word2Vec is cool. So is tsne. But trying to figure out how to train a model and reduce the vector space can feel really, really complicated. While working on a sprint-residency at Bell Labs, Cambridge last fall, which has morphed into a project where live wind data blows a text through Word2Vec space, I wrote … Continue reading Using Word2Vec and TSNE