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Table 1 Performance comparison of GB, CB, and CLB

From: Sentiment analysis of online product reviews using DLMNN and future prediction of online product using IANFIS

No of data

Performance measures

\(p_{s}\)

\(r_{k}\)

GB

CB

CLB

GB

CB

CLB

a

1000

86.3266

87.9988

95.4534

92.4555

92.1125

96.1128

2000

88.3226

88.3322

96.6644

91.8857

90.3534

95.3534

3000

87.2247

88.1244

97.4354

92.2333

91.2324

96.2324

4000

86.3577

86.3365

95.3422

90.8837

92.8323

95.8323

5000

88.3447

88.8455

96.4555

91.8876

90.8322

96.8322

No of data

Performance measures

\(f_{s}\)

\(a_{c}\)

GB

CB

CLB

GB

CB

CLB

b

1000

90.3324

91.0455

95.0455

96.8543

89.7764

95.7764

2000

90.5688

90.1454

94.1454

86.76454

90.8845

96.8875

3000

91.4788

90.8807

93.8875

86.97552

89.3445

96.3447

4000

90.3357

91.1043

95.1435

85.67556

89.7764

95.7761

5000

91.6355

90.8541

96.8543

86.67845

90.6654

96.6654