A model to detect depression in tweets. The model was implemented using CNN+LSTM and compared the accuracy with traditional machine learning algorithms such as Logistic Regression, KNN, SVM, and Decision Trees. The trained model was tested on a dataset of COVID-19 related tweets to detect signs of depression.
