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Title
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Predicting Mental Illness using Social Media Posts and Comments
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Sub-Title |
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Subject |
"Machine learning; mental disorders; Reddit; Schizophrenia; Autism; OCD; PTSD"
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Author |
Mian Farhan Ullah
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Publish Year |
2020 |
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Supervisor |
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Diss#. |
https://doi.org/10.14569/IJACSA.2020.0111271 |
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Pages |
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Text Language |
English |
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Library Section |
Research Article |
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Abstract |
From the last decade, a significant increase of
social media implications could be observed in the context of ehealth.
The medical experts are using the patient’s post and their
feedbacks on social media platforms to diagnose their infectious
diseases. However, there are only few studies who have leveraged
the capabilities of machine learning (ML) algorithms to classify
the patient’s mental disorders such as Schizophrenia, Autism,
and Obsessive-compulsive disorder (OCD) and Post-traumatic
stress disorder (PTSD). Moreover, these studies are limited to
large number of posts and relevant comments which could be
considered as a threat for their effectiveness of their proposed
methods. In contrast, this issue is addressed by proposing a novel
ML methodology to classify the patient’s mental illness on the
basis of their posts (along with their relevant comments) shared
on the well-known social media platform “Reddit”. The proposed
methodology is exploit by leveraging the capabilities of wide
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