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Mental Health Detection Using Transformer BERT

Mental Health Detection Using Transformer BERT

Kuldeep Kumar Patel, Anikesh Pal, Kumar Saurav, Pooja Jain
Copyright: © 2022 |Pages: 18
ISBN13: 9781799887867|ISBN10: 1799887863|ISBN13 Softcover: 9781799887874|EISBN13: 9781799887881
DOI: 10.4018/978-1-7998-8786-7.ch006
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MLA

Patel, Kuldeep Kumar, et al. "Mental Health Detection Using Transformer BERT." Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization, edited by Sailesh Suryanarayan Iyer, et al., IGI Global, 2022, pp. 91-108. https://doi.org/10.4018/978-1-7998-8786-7.ch006

APA

Patel, K. K., Pal, A., Saurav, K., & Jain, P. (2022). Mental Health Detection Using Transformer BERT. In S. Iyer, A. Jain, & J. Wang (Eds.), Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization (pp. 91-108). IGI Global. https://doi.org/10.4018/978-1-7998-8786-7.ch006

Chicago

Patel, Kuldeep Kumar, et al. "Mental Health Detection Using Transformer BERT." In Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization, edited by Sailesh Suryanarayan Iyer, Arti Jain, and John Wang, 91-108. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-7998-8786-7.ch006

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Abstract

The COVID-19 pandemic has affected the daily life of each individual drastically at global level. The adverse effects of the pandemic on an individual and people around them have created an anxious and depressive environment. The virus has changed the way of living for most people and increased the distance between individuals. As the COVID-19 spread, people have been constantly in bad mental health which includes fear, boredom, sadness, and stress. Based on this situation, in this chapter the authors have analysed the mental health of people affected due to COVID-19 by analyzing two parameters of mental health, boredom and stress, from social media posts by detecting different emotions and feelings expressed in the form of text. The authors have utilized the BERT pre-trained model on preprocessed data to create classification models of boredom, stress, and consequently, determining the emotion of the person. These models are used to determine the emotions (i.e., stress and boredom) during different stages of the COVID-19 pandemic.

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