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Depression Analysis on Social Media Platform

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dc.contributor.author Arbaz Khan Niazi, 01-134192-011
dc.contributor.author Shaheer Rehman Khan Niazi, 01-134192-077
dc.date.accessioned 2023-07-24T05:05:17Z
dc.date.available 2023-07-24T05:05:17Z
dc.date.issued 2023
dc.identifier.uri http://hdl.handle.net/123456789/15728
dc.description Supervised by Ms.Umarah Qaseem en_US
dc.description.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 en_US
dc.language.iso en en_US
dc.publisher Computer Sciences en_US
dc.relation.ispartofseries BS (CS);P-2119
dc.subject Machine Learning Algorithms en_US
dc.subject Social Media Platform en_US
dc.title Depression Analysis on Social Media Platform en_US
dc.type Project Reports en_US


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