What we discovered is that the simple method of identifying neutral documents from the binary sentiment classifier's decision boundary works surprisingly well, as long as the right thresholds are found.
we take the probabilistic outputs of a binary sentiment classifier trained as before, and then put all the documents whose proba-bility of being positive lies not close to 0, not close to 1, but in the middle range into the neutral class.