Employing Machine Learning for Multi-perspective Emotional Health Analysis

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Abstract

Human emotion is undoubtedly the most fundamental aspect of human relationships and thus guides human to distinguish among right and wrong human behavior. Also, emotional equilibrium governs the human happiness state which indirectly affects physical health. In the absence of affective emotional equilibrium, unhappiness and common mental disorders may emerge. Despite the powerful influence of emotion on human behavior, it lacks systematic research and has been confined to fixation of beliefs only. This lack of recognition shows an ignorant attitude toward emotional health leading to unhappiness among humans. Here, in this chapter, the authors aim to present the importance of emotional health analysis. Additionally, they discuss the various perspective in order to evaluate the emotional health of humans.

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Mangla, M., Akhare, R., Deokar, S., & Mehta, V. (2020). Employing Machine Learning for Multi-perspective Emotional Health Analysis. In Emotion and Information Processing: A Practical approach (pp. 199–211). Springer International Publishing. https://doi.org/10.1007/978-3-030-48849-9_13

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