clustered word embeddings for categories of different different categories of words okay so in word to back well the authors tried to look at how the word embeddings cluster together and you can see that various newspapers are clustered together and various NHL teams and ba teams you can actually see that if you take the nearest neighbor of if you take a nearest neighbor of Detroit you get Detroit Pistons or Oakland and get Golden State Warriors off you take the nearest neighbor of Steve Ballmer you basically get Microsoft for Larry