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Social Media Depression Monitoring Model Using Sentiment Analysis

Authors: Joshua Jonah Vincent , Okediran , KUYORO Afolashade , Abolaji Akanbi

Publication Type: Journal article

Journal: International Journal Of Computing And Technology

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Abstract

The proliferation of mobile technology, with the privacy and ubiquity that it offers often presents social media pseudo-confidant for lonely and depressed individuals. Social media continues to play an active part in contemporary human life, according to statistics about 40% of the global population are currently active on social media. According to the World Health Organization, at least one in every twenty-five people living as at October 2019 are depressed. Several authors and researchers have developed and proposed methods to predict depression through sentiments in social media posts. Twitter have been widely investigated although other social networks have also been discoursed such as Sina (a Chinese micro blog) and Myspace. It is in light of this that this research seeks to gather social media dataset that is applicable for non-clinical early prediction of the mental health status of users towards strengthening business intelligence. Hence, this work is focusing on mining comments from twitter as a mitigation technique for depression.

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Joshua,J. Okediran,E. KUYORO,A. Abolaji,A. . (2020). Social Media Depression Monitoring Model Using Sentiment Analysis, 7 (), 47-47.

Joshua,J. Okediran,E. KUYORO,A. Abolaji,A. . "Social Media Depression Monitoring Model Using Sentiment Analysis" 7, no (), (2020): 47-47.

Joshua,J. and Okediran,E. and KUYORO,A. and Abolaji,A. and . (2020). Social Media Depression Monitoring Model Using Sentiment Analysis, 7 (), pp47-47.

JoshuaJ, OkediranE, KUYOROA, AbolajiA, . Social Media Depression Monitoring Model Using Sentiment Analysis. 2020, 7 ():47-47.

Joshua,Jonah Vincent , Okediran,Ebunoluwa , KUYORO,Afolashade , and Abolaji,Akanbi . "Social Media Depression Monitoring Model Using Sentiment Analysis", 7 . (2020) : 47-47.

J.Jonah Vincent O.Ebunoluwa K.Afolashade & A.Akanbi , "Social Media Depression Monitoring Model Using Sentiment Analysis" vol.7, no., pp. 47-47, 2020.

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