Sentence-level and text-level architectures are either adapted to sequential input data (typical for RNN, LSTM, GRNN and related architectures) or spatially arranged input data (as with CNN architectures).
for word embeddings (the default input for word emotion induction) there does not seem to be any meaningful order of their components.