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ประกาศรายชื่อผู้ได้รับทุนสถาบันวิจัยเศรษฐกิจป๋วย อึ๊งภากรณ์ ประจำปี 2565 รอบที่ 2
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ประกาศรายชื่อผู้ได้รับทุนสถาบันวิจัยเศรษฐกิจป๋วย อึ๊งภากรณ์ ประจำปี 2565 รอบที่ 2
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13 January 2022
20221642032000000

Using Large-Scale Social Media Data for Population-Level Mental Health Monitoring and Public Sentiment Assessment: A Case Study of Thailand

Abstract

Mental health problems are among major public health concerns during the COVID-19 pandemic, given heightened uncertainties and drastic changes in lifestyles. However, mental health problem prevention and monitoring could be greatly improved given advancements in deep-learning techniques and readily available social media messages. This research uses deep learning algorithms to extract emotion, mood, and psychological cues from social media messages and then aggregates these signals to track population-level mental health. To verify the accuracy of our proposed approaches, we compared our findings to the actual number of patients treated for depression, attempted suicides, and self-harm cases reported by Thailand’s Department of Mental Health. We discovered a strong correlation between the predicted mental signals and actual depression, suicide, and self-harm (injured) cases. Finally, we also create a database and user-friendly interface to facilitate researchers and policymakers to explore our extracted mental signals for further applications such as policy sentiment assessment.

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The views expressed in this workshop do not necessarily reflect the views of the Puey Ungphakorn Institute for Economic Research or the Bank of Thailand.
Tags: mental healthnatural language processingdeep learningsocial networks
Suppawong Tuarob
Suppawong Tuarob
Mahidol University
Thanapon Noraset
Thanapon Noraset
Mahidol University
Tanisa Tawichsri
Tanisa Tawichsri
Puey Ungphakorn Institute for Economic Research

Puey Ungphakorn Institute for Economic Research

273 Samsen Rd, Phra Nakhon, Bangkok 10200

Phone: 0-2283-6066

Email: pier@bot.or.th

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