This kind is useful when the general context of the enter sequence is needed to make one prediction. In sentiment analysis the model receives a sequence of words (like a sentence) and produces a single output like optimistic, unfavorable or neutral. In a One-to-Many RNN the network processes a single enter to provide multiple outputs…