In this paper, we propose a novel approach, namely ensemble LSTM, to user classification by incorporating multiple textual perspectives.
note that the motivation of employing LSTM as our single-perspective learning approach is that LSTM equips with a special gating mechanism that controls access to memory cells and it is powerful and effective at capturing long-term dependencies (Bengio et al., 1994).