Diagnosis of Mental Health from Social Networking Posts: An Improved ML-Based Approach
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8646-0_11
Reference28 articles.
1. WHO World Mental Health (WMH): Depression. (2021). Accessed 5 July 2022
2. Mali A, Sedamkar RR (2022) Prediction of depression using machine learning and NLP approach. In: Intelligent computing and networking, (Singapore), pp 172–181, Springer Nature Singapore
3. Calvo RA, Milne DN, Hussain MS, Christensen H (2017) Natural language processing in mental health applications using non-clinical texts. Nat Lang Eng 23(5):649–685
4. Shatte AB, Hutchinson DM, Teague SJ (2019) Machine learning in mental health: a scoping review of methods and applications. Psychol Med 49(9):1426–1448
5. Smys S, Raj JS (2021) Analysis of deep learning techniques for early detection of depression on social media network-a comparative study. J Trends Comput Sci Smart Technol (TCSST) 3(01):24–39
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