Sentiment Analysis Principle Technical Approach on Online Social Network Data Using CNN for Detection of Stress

According to this research, stress is typically a human response to various dangers or goals. When it works well, this reaction can help us stay focused, motivated, and cognitively engaged. However, when it goes out of control, it can be hazardous and result in depression, anxiety, hypertension, and a variety of other serious problems. Cyberspace serves as a vast soap box for people to communicate everything they come across in their daily lives. Based on the posts and status updates the person shares, it may then be utilized as a very effective way to determine how stressed out they are. This is a proposal for a website that receives the user's Twitter username, uses sentiment analysis to scan and analyze the topic's profile, and then provides findings. These results give an overview of the subject's mental and emotional health as well as its overall stress levels. The CNN deep learning architecture is the focus of this study since it aims to address the stress of evolution in online social networks like Twitter.