Does Yoga Make You Happy? Analyzing Twitter User Happiness using Textual and Temporal Information
This research addresses the gap in understanding the emotional states of people related to yoga on social media, providing insights for individuals interested in the mental health benefits of yoga.
This study examined the causal relationship between yoga practice and happiness among Twitter users, finding that for 1447 users, yoga Granger-causes happiness. The research utilized textual and temporal information, including a proposed joint embedding model for yoga activity and a transfer learning approach for measuring emotional states.
Although yoga is a multi-component practice to hone the body and mind and be known to reduce anxiety and depression, there is still a gap in understanding people's emotional state related to yoga in social media. In this study, we investigate the causal relationship between practicing yoga and being happy by incorporating textual and temporal information of users using Granger causality. To find out causal features from the text, we measure two variables (i) Yoga activity level based on content analysis and (ii) Happiness level based on emotional state. To understand users' yoga activity, we propose a joint embedding model based on the fusion of neural networks with attention mechanism by leveraging users' social and textual information. For measuring the emotional state of yoga users (target domain), we suggest a transfer learning approach to transfer knowledge from an attention-based neural network model trained on a source domain. Our experiment on Twitter dataset demonstrates that there are 1447 users where "yoga Granger-causes happiness".