Sentiment and Data Analysis of Mental Health Hotline in Thailand Based on Social Media by Machine Learning

Main Article Content

Preenapun Saokhieo
Thanida Auttapracha
Anupap Sangjun
Naphat Saokomut

Abstract

Introduction


            The Thai Mental Health Hotline has been utilized to help people with their mental health issues, bridging the gap in mental health access. However, no previous article has identified its drawbacks. Thus, this evidence on social media response might reflect real world feedback and show substantial impediments to providing mental health care via telepsychiatry in Thailand.


 


Objective


Our research aims to describe and analyze feedback on social media about receiving mental health services from the Thai Mental Health Hotline by using sentiment analysis, machine learning, visualization of data, and text analytics.


 


Method


            Thai Mental Health Hotline comments were gathered manually from Facebook and Pantip, and automatically from Twitter by using related keywords. Data preparation and sentimental analysis were applied to interpret all comments by using WangchanBERTa, the latest and largest Thai language NLP model. Exploratory Data Analysis was performed through Python and Excel to clean and investigate trends of feedback by time. The negative opinion was focused to identify causes of adverse outcomes. The overall data was visualized to discuss and conclude the outcome.


 


Result


            From 555 comments gathered from 2013-2020, 52.40% of the comments are neutral, followed by negative at 35.05%, and positive at 12.55%. The number of comments from social media were low from 2013 - 2019, and then rose extremely to climax (213 comments) during 2020. Focused on the complaints, most of them are about absent response issues (79.47% out of all negative response), service quality (13.16% out of all negative response) and others.


 


Conclusion


The peak of comment in 2020 may be influenced by Covid-19. Moreover, aside from neutral reactions, data suggest that there are more negative than positive responses. To deal with negative feedback, including absent response and poor service quality, more psychologists should be provided, and more expenditure should be spent on training consultants.


 

Article Details

How to Cite
Saokhieo, P., Auttapracha, T., Sangjun, A. and Saokomut, N. . (2022) “Sentiment and Data Analysis of Mental Health Hotline in Thailand Based on Social Media by Machine Learning”, Journal of Asian Medical Students’ Association. Kuala Lumpur, Malaysia. Available at: https://jamsa.amsa-international.org/index.php/main/article/view/426 (Accessed: 4December2022).
Section
Scientific Posters (EAMSC 2023 Nepal)
Author Biographies

Thanida Auttapracha, Medical student

Faculty of Medicine, Chiang Mai University, Thailand

Anupap Sangjun, Medical student

Faculty of Medicine, Chiang Mai University, Thailand

Naphat Saokomut, Medical student

Faculty of Medicine, Chiang Mai University, Thailand

References

References

โรคทางใจ เป็นได้ หายได้ โทรสายด่วนสุขภาพจิต 1323 [Internet]. ทิสโก้ เวลธ์. 2022 [cited 1 May 2022]. Available from: https://www.tiscowealth.com/trust-magazine/issue-52/giving.html

Wahass S. THE ROLE OF PSYCHOLOGISTS IN HEALTH CARE DELIVERY [Internet]. PubMed Central (PMC). 2022 [cited 1 May 2022]. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3410123/

Sentiment Analysis: Concept, Analysis and Applications [Internet]. Medium. 2022 [cited 2 May 2022]. Available from: https://towardsdatascience.com/sentiment-analysis-concept-analysis-and-applications-6c94d6f58c17

ดูจาก การศึกษารายกรณีผู้รับบริการสายด่วนสุขภาพจิต 1323 ในภาวะวิกฤตและแนวทางให้การปรึกษา [Internet]. He01.tci-thaijo.org. 2022 [cited 2 May 2022]. Available from: https://he01.tci-thaijo.org/index.php/jmht/article/view/210838/164532

What Is Machine Learning? A Definition. [Internet]. Expert.ai. 2022 [cited 2 May 2022]. Available from: https://www.expert.ai/blog/machine-learning-definition/

WangchanBERTa โมเดลประมวลผลภาษาไทยที่ใหญ่และก้าวหน้าที่สุดในขณะนี้ [Internet]. Medium. 2022 [cited 2 May 2022]. Available from: https://medium.com/airesearch-in-th/wangchanberta-%E0%B9%82%E0%B8%A1%E0%B9%80%E0%B8%94%E0%B8%A5%E0%B8%9B%E0%B8%A3%E0%B8%B0%E0%B8%A1%E0%B8%A7%E0%B8%A5%E0%B8%9C%E0%B8%A5%E0%B8%A0%E0%B8%B2%E0%B8%A9%E0%B8%B2%E0%B9%84%E0%B8%97%E0%B8%A2%E0%B8%97%E0%B8%B5%E0%B9%88%E0%B9%83%E0%B8%AB%E0%B8%8D%E0%B9%88%E0%B9%81%E0%B8%A5%E0%B8%B0%E0%B8%81%E0%B9%89%E0%B8%B2%E0%B8%A7%E0%B8%AB%E0%B8%99%E0%B9%89%E0%B8%B2%E0%B8%97%E0%B8%B5%E0%B9%88%E0%B8%AA%E0%B8%B8%E0%B8%94%E0%B9%83%E0%B8%99%E0%B8%82%E0%B8%93%E0%B8%B0%E0%B8%99%E0%B8%B5%E0%B9%89-d920c27cd433

Amornvit Amattayakong E. กรมสุขภาพจิต เผย ญาติผู้เสียชีวิตโควิด-19 เครียดใช้บริการสายด่วนมากขึ้น [Internet]. Dmh.go.th. 2022 [cited 2 May 2022]. Available from: https://www.dmh.go.th/news-dmh/view.asp?id=30972

คนโทรปรึกษาสายด่วนสุขภาพจิตช่วง COVID ทะลุ 600 สาย [Internet]. Thai PBS. 2022 [cited 1 May 2022]. Available from: https://news.thaipbs.or.th/content/291508

Tubtimtes S, Lertrattananon D, Sukying C, Thamakaison S, Pumkompol T. The Patients Lost in Process of Referral from Family Medicine to Psychiatrist [Internet]. He02.tci-thaijo.org. 2022 [cited 1 May 2022]. Available from: https://he02.tci-thaijo.org/index.php/ramajournal/article/view/95165

Hopper AM, Uriyo M. Using sentiment analysis to review patient satisfaction data located on the internet. J Health Organ Manag. 2015;29(2):221-33. doi: 10.1108/JHOM-12-2011-0129. PMID: 25800334.