Abstract:
Depression is a mental health disorder that affects a significant portion of the population, and social media platforms have become a popular place for individuals to express their thoughts and feelings. In this study, we aim to analyze social media data to identify patterns and trends related to depression. This will involve collecting data from Reddit using natural language processing techniques to identify key themes and sentiment related to depression. Additionally, we will use machine learning algorithms to classify posts and identify users who may be at risk for depression. The goal of this study is to potentially identify early warning signs of depression in order to improve intervention and treatment efforts.Chapter 1 mentions a brief introduction to the system that will be used.Chapter 2 we will discuss the comparative study and similar work.In Chapter 3 we shall show the specification that are required where as in Chapter 4 show in detail the system design
