PROJECT DRAFT

Running head: PROJECT PROPOSAL- DEPRESSION PREDICTION IN DIGITAL WORLD 1

PROJECT PROPOSAL- DEPRESSION PREDICTION IN DIGITAL WORLD 10

Data Science and Big Data Analytics

Group 7

Srikanth Gungi

Akhilnath Muddana

Option 1- Depression Prediction in Digital World

University of the Cumberlands

Project Proposal

This paper explores human behavior to detect their depression levels in the digital world by analyzing their behavioral patterns. The digital world has reduced the interaction time between human encounters and made it an easily available interaction via social media. More than 80% of the human emotions are shared in social media since the physical human interaction has fallen drastically that everyone prefers social media rather than healthy human interactions. Social media is serving as a double edge sword when human emotions are considered since it has the ability to destruct happiness and also the ability to lift a person from depression and related issues. This leads to focus and emphasize on ethical usage of social media since 90% of the user lot are taking it for granted maintaining too many profiles on different pseudo names. As the platform has grown bigger many types of research have been taking place for understanding the current psychological situations of the world population,

Since the emotional analysis has gone into a research-level topic many researches have incorporated linguistic processing and content interpretation to understand the behaviors of an individual. This paper studies the human behaviors and their emotions by considering the sources like customer reviews on internet articles, social media postings, stock fluctuations, product reviews, newspaper reactions, etc. This paper uses K-mean clustering and Neural networks to efficiently understand the human behaviors which give the true values for false rejections and true rejections. Back Propagation Neural Networks helps in gathering the related patterns that define a particular emotion and thereby the subject emotions get narrowed down and if the subject is a close study material then it would be easy to diagnose the subject with the required solution