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

Research and Practice in Technology Enhanced Learning

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)

	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