Published Paper Details:

According to the research, stress is often a human's response to various dangers or wants. When working properly, this reaction may help us stay focused, motivated, and cognitively engaged, but if it becomes out of control, it can be hazardous and result in depression, anxiety, hypertension, and a variety of other life-threatening conditions. Cyberspace is a huge platform for individuals to communicate everything and everything they experience in their daily lives. Then, depending on the posts and status updates the person provides, it may be utilized as a very effective approach to determine that person's degree of stress. This is a suggestion for a website that accepts the subject's Twitter username as an input, scans and analyses the topic's profile using sentiment analysis, and then displays the findings. These findings show the subject's overall stress levels and provide an overview of its mental and emotional condition. Here in this project we are aiming the CNN deep learning architecture for the stress of evolution in online social networks such as Twitter.