Depressed People Detection from Bangla Social Media Status using LSTM and CNN Approach

At present, depression is the main reason for suicidal death. Depression also causes different kinds of diseases. Nowadays, people are deeply involved in social media and like to share their feelings on media. So, it becomes easy analyze through In this paper, a combination two CNN (Convolutional Neural Network) LSTM (Long Short-Term Memory) models has been proposed make hybrid CNN-LSTM model, performed image create matrix, given result from matrix. datasets prepared based non-depression-related status. The method applied that dataset. best obtained using neural network with word embedding technique Bengali Facebook status We have used SVM (Support Vector Machine) model predict small dataset count vectorizer document. Finally, paper built up makes strength support deep learning architecture.