Taghipour and Ng (2016) tried to attend over words on their one-layer LSTM model, but failed to beat the baseline model that employs mean-over-time pooling, because of that text-level model contains a quite long sequence of words, which may weaken the effect of attention.
sentence-level model contains relatively short sequences of words, which makes attention more effective.