• D. Gopalsamy
• M. Arumaiselvam

Gloom is a genuine and broad general wellbeing challenge. We inspect the potential for utilizing social media postings as another sort of focal point in comprehension gloom in populaces. Data gathered from social media bears potential to supplement customary overview procedures in its capacity to give better grained estimations after some time while drastically extending populace test sizes. We present work on utilizing a publicly supporting strategy to assemble a huge corpus of postings on Twitter that have been shared by people determined to have clinical sorrow. Next, we build up a probabilistic model prepared on this corpus to decide whether posts could demonstrate discouragement. The model influences sign of social action, feeling, and language showed on Twitter. Utilizing the model, we present an internet based life melancholy file that may serve to portray levels of despondency in populaces. Land, statistic and occasional examples of sadness given by the measure affirm mental discoveries and relate profoundly with despondency measurements detailed by the Centers for Disease Control and Prevention (CDC).

behavior, depression, emotion, health, language, social media, mental health, public health, Twitter, wellness

"Social Media as a Measurement Tool of Depression in Populations", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.390-395, June 2019, Available :http://www.jetir.org/papers/JETIR1907198.pdf

"Social Media as a Measurement Tool of Depression in Populations", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp390-395, June 2019, Available at : http://www.jetir.org/papers/JETIR1907198.pdf