Table 3. Summary of major parameters utilized in the deep learning approaches with Word2vec models.

Parameters	Value	Parameters	Value
Dimensionality	100, 200, 300, 400	Dropout	0.2, 0.5
Sample	0.001	Seed	1
Window size	10	min_alpha	0.0001
Sentences	None	min_count	5
Batch_words	10,000	cbow_mean	1
Max_vocab_size	None	Alpha	0.025
SG[0,1]	1 for skim gram otherwise CBOW	null_word	0
HS[0, 1]	0	Activation function	ReLU
Negative	5	trim_rule	None
Hashfxn	5	sorted_vocab	1