• Farhan Hasan Khan
• Tushar Sharma
• Naveen Parmar
• Ansari Raiyan

In the era of social systems administration frenzy is expanding step by step. Web-based entertainment get famous among youths, senior residents and practically every one of the people groups. Be that as it may, with the inordinate utilization of interpersonal organization correspondence, it influences the human existence seriously. As of late, a developing number of mental issues have been seen in informal organizations, for example, the reliance on computerized connections, data over-burden and organization limitation and so on. Right now, the side effects of these psychological problems are noticed, which causes a few perilous issues. Human feelings like discouragement are inward opinions of people which uncover genuine ways of behaving of an individual. Breaking down and deciding these kinds of feelings from individuals' social exercises in virtual world can be exceptionally useful to grasp their ways of behaving. Distinguishing words that express cynicism in an online entertainment message is one stage towards distinguishing burdensome states of mind. Despondency doesn't simply happen for a person in vacuum; it can influence your companions, family, colleagues, and everybody around you. Also, misery might influence how you perform at work or your degrees of fixation, so it can adversely influence efficiency. To get it on the off chance that a Facebook type framework client could show despondency throughout some stretch of time, then framework will ready to recognize the discouraged client in view of his exercises like posts and visits, which incorporates emotional type keywords.

cynicism, psychological problems, issues, despondency, social system, discourage, feelings, type, client, depression, depression detection

"TEXT-BASED DEPRESSION DETECTION ON SOCIAL MEDIA POSTS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.i448-i450, May-2022, Available :http://www.jetir.org/papers/JETIR2205967.pdf

"TEXT-BASED DEPRESSION DETECTION ON SOCIAL MEDIA POSTS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppi448-i450, May-2022, Available at : http://www.jetir.org/papers/JETIR2205967.pdf