Machine Learning, Naturallanguageprocessing, Artificial Intelligence, NLP, AI.
classifying among 10,000 classes, we have now turned it into 10,000 binary classification problem. We further simplify the problem by randomly selecting a small number of “negative” words k(a hyper-parameter, let’s say 5) to update the weights for. (In this context, a “negative” word is one for