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Table 7 Results of various approaches considering performance for both identifying doubt and overall doubt classification (P, R, F denotes Precision, Recall, and F1 score, respectively, with P-y indicating Precision in identifying doubt or label ‘y’ during testing)

From: Automated doubt identification from informal reflections through hybrid sentic patterns and machine learning approach

Approach

P-y

R-y

F-y

P

R

F

doc2vec_CNN-LSTM

0.41

0.45

0.43

0.62

0.62

0.62

glove_LSTM

0.37

0.50

0.42

0.59

0.61

0.60

Hybrid (doc2vec_CNN-LSTM + Sentic pattern)

0.42

0.75

0.54

0.66

0.71

0.65

Hybrid (glove_LSTM + Sentic pattern)

0.40

0.82

0.54

0.66

0.71

0.63