TY - JOUR AU - Patidar, Hrishabh AU - Umre, Jayesh PY - 2021/01/06 Y2 - 2024/03/29 TI - PREDICTING DEPRESSION LEVEL USING SOCIAL MEDIA POSTS JF - International Journal of Research -GRANTHAALAYAH JA - Int. J. Res. Granthaalayah VL - 8 IS - 12 SE - Articles DO - 10.29121/granthaalayah.v8.i12.2020.1972 UR - https://www.granthaalayahpublication.org/journals/granthaalayah/article/view/IJRG20_B10_3840 SP - 234-237 AB - <p>Depression is a major concern snowballing day by day. There can be various causes of depression but mental illness is the main problem. A lot of people suffer from depression and a very few of them go through treatment. One out of six people between ages 10 to 19 years are suffering from depression. At its worst, depression can lead to suicide. Depression reduces user’s ability to do work study or socialize. One solution to this problem is study of individual’s behaviour through social media. We could know a person’s opinion, thinking, mood etc. through his social media. These attributes of user can be collected from different social networking sites like Instagram, Facebook, and Twitter etc. Social networking sites can be used as an analysis tool to predict depression level. Our projects aim is to gather information of user from their social media posts and predict his depression level.</p> ER -