Human Stress Detection Based on Social Media Interaction Using Machine Learning

Abstract

Now a day’s most of the people’s faces stress that will lead to psychological problem. Hence it is vital to detect causes of stress before it turns to a big health problem. Generally BP, heart attack or some death are occurred because of taking excessive stress. Detecting stress of human we use social media data such as post on Facebook page, twits on twitter etc. because people share their feelings on social media hence it becomes easy to get social data to find stress based on their behavior. Since regular methods are very time consuming and costly. We utilize tweets of user posted on media from twitter dataset. The states of user stress are classified using Convolutional Neural Network (CNN) algorithm and are divided as stressed or non-stressed user.