This project aims to develop a hybrid deep learning model to classify whether a given text is depressive or not.
Sentiment 140 https://www.kaggle.com/datasets/kazanova/sentiment140
Embedding + conv + batchnormalization + maxpooling + lstm + maxpooling.
Google embedding file https://www.kaggle.com/datasets/suraj520/googlenews-vectors-negative300bingz-gz-format.
Download the embeddings and dataset into the root folder. Install the necessary packages from requirements.txt.
check results.png, network architecture.png, and outline.png for more details regarding the implementation of the model.
All the code is available in pro_final.ipynb file.