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SERCNN: Stacked Embedding Recurrent Convolutional Neural Network in Detecting Depression on Twitter
Our findings open up a promising direction for detecting depression on social media with a smaller number of posts for inference, towards creating solutions for a cost-effective and timely intervention.
SERCNN: Stacked Embedding Recurrent Convolutional Neural Network in Depression Detection on Twitter
Therefore, this study proposes a Stacked Embedding Recurrent Convolutional Neural Network (SERCNN) for a more optimized prediction that has a better trade-off between the number of posts and accuracy.
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