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Table 1 The statistical information of all datasets

From: Attention-based Sentiment Reasoner for aspect-based sentiment analysis

Datasets

Overall

Pos.

Neg.

Neu.

Len.

Restaurant (2014)

 Train

3578

2148

800

630

78

 Test

1110

721

195

194

Laptop (2014)

 Train

2317

991

865

459

82

 Test

637

341

128

168

Restaurant (2015)

 Train

1279

963

280

36

74

 Test

597

353

207

37

Restaurant (2016)

 Train

1880

1319

489

72

78

 Test

650

483

135

32

Camera

 Train

1635

1157

478

26

 Test

408

263

145

Car

 Train

885

668

217

34

 Test

221

166

55

Notebook

 Train

485

331

154

18

 Test

121

72

49

Phone

 Train

1885

1260

625

39

 Test

471

303

168

  1. We use “–” to indicate that the dataset doesn’t contain this kind of class. We use ‘Len.’ to represent the max length of the sentence. We respectively use “2014”, “2015” and “2016” to represent that the dataset is belong to SemEval 2014, 2015 and 2016