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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 dataPerformance measures
\(p_{s}\)\(r_{k}\)
GBCBCLBGBCBCLB
a
100086.326687.998895.453492.455592.112596.1128
200088.322688.332296.664491.885790.353495.3534
300087.224788.124497.435492.233391.232496.2324
400086.357786.336595.342290.883792.832395.8323
500088.344788.845596.455591.887690.832296.8322
No of dataPerformance measures
\(f_{s}\)\(a_{c}\)
GBCBCLBGBCBCLB
b
100090.332491.045595.045596.854389.776495.7764
200090.568890.145494.145486.7645490.884596.8875
300091.478890.880793.887586.9755289.344596.3447
400090.335791.104395.143585.6755689.776495.7761
500091.635590.854196.854386.6784590.665496.6654