Table 7 Component removal effect on model’s overall performance.

From: A deep sentiment model combining ALBERT-driven context and EHO-optimized architecture

Method

Lap14

Twitter

Res14

Res15

Res16

SST-5

Acc

F

Acc

F

Acc

F

Acc

F

Acc

F

Acc

F

Proposed method

85.9

83.2

83.1

81.5

89.6

84.4

85.7

86.1

95.7

87.0

53.5

53.0

Without ALBERT

81.0

78.6

79.5

77.8

85.0

80.1

82.0

81.6

83.5

79.8

51.0

50.6

Without Bi-GRU

81.5

79.1

80.3

78.5

85.8

81.0

83.2

82.5

84.0

80.6

52.5

52.0

Without Bi-LSTM

81.7

79.4

78.9

77.2

84.6

79.6

81.8

81.0

83.0

79.2

50.5

50.1

Without EHO

82.3

80.1

80.2

78.9

86.2

81.9

82.3

82.0

84.5

81.3

51.5

51.0