Research Article
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 |
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