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Table 7 Precision, recall and F1-scores of deep learning algorithms

From: Annotating and detecting topics in social media forum and modelling the annotation to derive directions-a case study

Models

20% of test data from semi-supervised labelled data

20% of test data from manually labelled data

 

Precision

Recall

F1-Score

Accuracy

Precision

Recall

F1-Score

Accuracy

CNN

0.751

0.773

0.762

0.757

0.756

0.768

0.759

0.760

LSTM

0.780

0.789

0.784

0.782

0.779

0.791

0.789

0.786

BiLSTM

0.792

0.790

0.791

0.797

0.795

0.789

0.793

0.795