Mar 1, 2023 · In this work, an attention-based BiLSTM-CNN approach has been proposed to detect depressive Bangla social media texts. As no publicly available ...

Sep 20, 2024 · This work presents an attention-based bidirectional Long Short-Term Memory (LSTM)-Convolutional Neural Network (CNN) based model to detect depressive Bangla ...

The proposed method detects depression from Bangla social media texts. •. The method is based on the bidirectional LSTM and CNN. •. Attention ...

Oct 22, 2024 · Ghosh et al. (2023) introduced a BiLSTM-CNN model based on an attention mechanism for detecting depressive moods in Bengali social media text.

Nov 15, 2022 · This work presents an attention-based bidirectional Long Short-Term Memory (LSTM)- Convolutional Neural Network (CNN) based model to detect depressive Bangla ...

An attention-based hybrid architecture with explainability for depressive social media text detection in Bangla ... Authors: Tapotosh Ghosh; Md. Hasan Al Banna ...

This study proposes an attention-based deep learning model for detecting depressive emotions in Bangla social media texts. By analyzing the textual content ...

An attention-based hybrid architecture with explainability for depressive social media text detection in Bangla. Ghosh, T., Al Banna, M. H., Al Nahian ...

An attention-based hybrid architecture with explainability for depressive social media text detection in Bangla. T Ghosh, MH Al Banna, MJ Al Nahian, MN Uddin ...

Oct 10, 2022 · An attention-based hybrid architecture with explainability for depressive social media text detection in Bangla. sciencedirect.com. Like ...