way to approximate their problem however they say well as long as you know as long as something reasonable comes out we're free to change that up a bit so they go with this negative sampling approach right here and you can see that this is this is almost the same so it's written a bit differently from the original softmax thing because the original softmax thing was written as a fraction and here it's as a sum but what you're trying to do in the noise contain the negative sampling framework is you trying to maximize the following