Table 1 Examples of reviews and labels in multi-label ABSA
From: Toward multi-label sentiment analysis: a transfer learning based approach
Reviews | Labels |
|---|---|
The food was delicious service always came quickly with a joke or a smile and the portions are unbelievably HUGE | 10000000100000000000 |
The food selection was fantastic but waiting over hour to be seated | 10000000001000000000 |
Everything that I have eaten here has put me in a coma of ecstasy so please bring a designated driver to take you home | 10000000000000000000 |
They also have a cheap lunch buffet with Pad Thai and other dishes one of my favorite dishes there are the Garlic Wings | 01001000000000000000 |
I really like the atmosphere here | 00000000000010000000 |
Let me preface the following review by saying that if I didn’t absolutely have a terrible experience I wouldn’t have said anything | 00000000000000000010 |