A SYSTEMATIC STUDY ON PREDICTING DEPRESSION USING TEXT ANALYTICS
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Date
2018-05-01
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university of eloued جامعة الوادي
Abstract
Social Networking Sites (SNS) provides online communication among groups but somehow it
is affecting the status of mental health. For adolescents with limited social media friends and
using internet for communication purposes predicted less depression, whereas
non-communication desire reveals more depression and anxiety disorder. Social media posts
and comments provide a rich source of text data for academic research. In this paper, we have
discussed various text analytical approaches to predict depression among users through the
sharing of online ideas over such websites. This paper presents a comprehensive review for
predicting depression disorder by various text analytics approaches. This paper also presents
the summary of results obtained by some researchers available in literature to predict Major
Depressive Disorder (MDD). In future research, enable self-monitoring of health status of each
individuals which may help to increase well-being of an identity.
Description
Keywords
: Social Networking Sites; Sentiment Analysis; Machine Learning; Support Vector Machine.
Citation
V. Mishra* 1 , T. Garg2 . A SYSTEMATIC STUDY ON PREDICTING DEPRESSION USING TEXT ANALYTICS. Journal of Fundamental and sciences. vol.10, no 2. May 2018. Faculty of exact sciences. university of el oued. [visited in ../../….]. available from [copy the link here]. Journal of Fundamental and sciences. vol.10, no 2. May 2018. Faculty of exact sciences. university of el oued. [visited in ../../….]. available from [copy the link here]