Detecting Psychological Stress using Machine Learning over Social Media Interaction

Many of the population now face stress leading to psychological issues. Therefore, stress factors must be identified before a big health problem is involved. BP, heart failure, or death are usually caused by excessive stress. The social media data like posting on Facebook profiles, twits on twitter, etc are used to recognize human stress, as people communicate their social media feelings, promote the acquirement of social data, and detect stress based on their behavior. As traditional solutions are highly time-consuming and expensive. Twitter data collection and user tweets are also posted on the site. User stress states are called anxious or unstressed users using the algorithm of the convolutional neural network (CNN).