My implementation of Tsinghua University's Deep Learning Summer School Individual Lab
Given a natural language text, sentiment was classified with five-class sentiment labels:
- 0 (very negative)
- 1 (negative)
- 2 (neutral)
- 3 (positive)
- 4 (very positive)
GRU, LSTM and self-attention mechanism were used and compared.