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A K Competitive Autoencoder for Aggression Detection in Social Media Text

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Figure

Figure 1: An illustration of competition among the hidden neurons in Emoti-KATE; The hiddenlayer shows only one of each positive and negative neurons are selected as the winners out of thesix neurons competing to contribute to the output layer; All of the neurons in input, hidden andoutput layers are fully connected but not shown in this figure for ease of interpretation
Table 1: A brief overview of the input vectors used in our implementation
Table 2: Results of Emoti-KATE on experimental datasets
Figure 2: Heatmap of the confusion matrix forour best result observed (X3)
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