Social Networks, Happiness and Health: from sentiment analysis to a multidimensional indicator of subjective well-being

Article Iacus, S. M., Porro, G., Salini, S., & Siletti, E. (2015). Social networks, happiness and health: from sentiment analysis to a multidimensional indicator of subjective well-being. arXiv preprint arXiv:1512.01569. This paper applies a novel technique of opinion analysis over social media data with the aim of proposing a new indicator of perceived and subjective well being, Social Well Being Indicator (SWBI).  8 Componenest of SWBI: emotional well being, satisfying life, vitality, resilience and self esteem, positive funcitoning, trust and belonging, relationships, quality of job Uses supervised learnign and lead lag techinques to analyze the data.