PCA
Principal component analysis: a standard way to flatten many dimensions into a few by keeping the directions along which the data spreads out most.
Three hundred dimensions are impossible to draw, so this map flattens the vectors down to two using PCA, a standard way to find the two directions that spread the words out the most.
See it in action
Try pca hands-on in the lesson Words as vectors, part of the AI fundamentals course.