LSTM Network for Suicide Detection

Depression is a typical and severe mental health condition that can have an adverse effect on a person’s emotions, thoughts, and behaviours. Suicide can result from depression. It could lead to a number of physical and emotional problems as well as a decline in your capacity for both work and home life. More than 264 million people of every age and demographic around the world are affected by depression. Social media post analysis will help in identifying depression because the younger generation is more dependent on it. A system to identify depression has been proposed in this research paper combining Global vectors for word representation (GLOVE) embedding and Long-short term memory (LSTM) network. The proposed method obtained 93% accuracy only in 30 epochs.