Table 2 Accuracy on aspect term level ABSA on four English datasets
From: Attention-based Sentiment Reasoner for aspect-based sentiment analysis
Model | Res (2014) | Lap (2014) | Res (2015) | Res (2016) |
|---|---|---|---|---|
LSTM | 74.28 | 66.45 | – | – |
TD-LSTM | 75.63 | 68.13 | – | – |
ATAE-LSTM | 77.20 | 68.70 | – | – |
MemNN | 78.38 | 71.11 | 73.36 | 84.15 |
IAN | 78.60 | 71.78 | 77.55 | 85.84 |
RAM | 78.93 | 71.81 | 78.56 | 87.08 |
AS-Reasoner-I | 79.73 | 72.41 | 79.06 | 85.69 |
AS-Reasoner-G | 79.64 | 72.57 | 78.56 | 86.62 |
AS-Reasoner | 80.00 | 74.77 | 79.90 | 86.31 |