On Earth, there are millions of people, and everyone of them has emotions that they exhibit through their behaviors and conduct. Some emotions have a negative impact on human functioning and can lead to mental diseases that can deteriorate over time if they are not diagnosed early. Identifying these mental difficulties is a difficult process that is important in order to provide them with assistance in fixing the issue before it develops. Observing the manner in which individuals express their emotions in either writing or social media conversations is one such method. In the study, we evaluate two mathematical algorithms that imitate social media user activity and emotional fluctuations. In this review, we utilize two datasets for widespread mental disorders. Anorexia with depression. The results reveal the existence and variety of emotions exhibited by individuals on social media with depression and anorexia through the use of two visualizations that highlight pertinent information.