To avoid overfitting our statistical model, we do not count a word as appearing with itself.
once we have sub-corpus document frequences df T w p for each p, for each profile word p we define the element of our co-occurrence profile vector we normalize each count by the sum across all counts, such that the L1 norm of v is 1.