# Why does word2vec have a sparsity problem

If the weights are trained with enough examples, then they shouldn't be 0.

From what I understand the sparsity problem of word2vec comes from the fact that most of its weights are 0.

Word2vec has weights from the input to the projection and from the projection to the output.