Journal ArticleOpen Access
Social Media as a Mirror: Reflecting Mental Health Through Computational Linguistics
Authors
Author Affiliations
American International University-Bangladesh, Sakarya University, Sakarya Uygulamalı Bilimler Üniversitesi, Khalifa University of Science and Technology
Published InIEEE Access
Year2024
Citations7
Abstract
The world is grappling with a serious problem: many young individuals are taking their own lives. There is also a challenge in understanding the rising trend of this tendency. It is essential to explore the reasons driving people of all ages to consider suicide and find ways to encourage them to choose life instead. In the modern era, social media acts as a crucial platform where people share their thoughts, activities, and emotional states. This has led to the consideration of whether analyzing social media posts could help discern whether individuals are experiencing joy or sadness, particularly to detect levels of sadness that could indicate suicidal thoughts. This paper employs artificial intelligence and machine learning tools to analyze the social…
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