A Deep Neural Network Model for the Detection and Classification of Emotions from Textual Content

Table 2

Notations used during forward and backward LSTM.

Notation	Depiction
, , ,	Weight matrices of the input gate
, , ,	Weight matrices of the output gate
, , ,	Biases
	Prior cell output
	Hidden state
	The output obtained from element-wise sum regarding prior cell output and subsequent cell output
	subsequent(future) cell output
	Current state cell memory
	Gate of input
	Gate of forget
	Gate of output
	Current input
	Sigmoid operation
	Hyperbolic tangent function
	Sentence matrix obtained through Bi-LSTM