The results show that the proposed model outperforms standard machine learning approaches to classification and that there was a definite rise in depression ...
The present study aims to identify depressed Twitter users by analyzing their tweets. We propose a deep learning model which stacks a bidirectional LSTM layer ...
My Mind is a Prison: A Boosted Deep Learning approach to detect the rise in depression since. COVID-19 using a stacked bi-LSTM CatBoost model. 1st Shahana ...
Apr 25, 2024 · My Mind is a Prison: A Boosted Deep Learning approach to detect the rise in depression since COVID-19 using a stacked bi-LSTM CatBoost model.
My Mind is a Prison: A Boosted Deep Learning approach to detect the rise in depression since COVID-19 using a stacked bi-LSTM CatBoost model. Conference ...
My Mind is a Prison: A Boosted Deep Learning approach to detect the rise in depression since COVID-19 using a stacked bi-LSTM CatBoost model.
Apr 1, 2024 · Deep learning models can handle numerous variables. The current study focuses on demographic background, Kessler Psychological Distress, ...
Missing: My Mind Prison: Boosted approach bi- LSTM CatBoost
My Mind is a. Prison: A Boosted Deep Learning approach to detect the rise in depression since COVID-19 using a stacked bi-LSTM CatBoost model. 2021 IEEE.
Extended Abstract, My Mind is a Prison: A Boosted Deep Learning approach to detect the rise in depression since COVID-19 using a stacked bi-LSTM Catboost model ...
My Mind is a Prison: A Boosted Deep Learning approach to detect the rise in depression since COVID-19 using a stacked bi-LSTM CatBoost model. 2021 IEEE ...