We can see that on both tasks, S2S-Temp outperforms all baseline models in terms of all metrics, and the improvements are statistically significant (t-test with p-value< 0.01).
besides, we extract 1 million tweets with positive sentiment from a public corpus (Cheng et al., 2010) as an unpaired dataset.