Identifying Social Media Language Impacting Subjective Well-being – An Analysis Using Public Posts Collected from X
This research aims to identify the language features that impact the related variables linked to subjective well-being such as the amount of support received and tendency to depression using the public posts collected on X during the COVID-19 period from May 2020 to May 2022. Given that variables reflecting mental health status are multifaceted, this research aims to identify language features that may indicate these variables as well. By doing so, we hope to understand how specific words can reflect mental health status in a more comprehensive manner
This project was presented at Japan Society for Educational Technology (JSET) 2024 Check the full paper here