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Table 4 Overall performance of various ML models using different word embedding on training data (P, R, F denotes Precision, Recall, and F1 score, respectively)

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

  LR CNN CNN-LSTM LSTM
Word Embedding P R F P R F P R F P R F
Selected data with doc2vec embedding 0.76 0.75 0.75 0.62 0.61 0.61 0.8 0.78 0.78 0.69 0.64 0.61
Selected data with glove pre-trained word embedding 0.46 0.46 0.46 0.60 0.60 0.59 0.74 0.73 0.73 0.83 0.82 0.82