ИСТИНА

Recently, there have been published a lot of studies based on social network analysis with application of different methods including neural networks and built language models. Researchers correlate findings with the official longitudinal surveys of well-being and try to find words and topics connected with the well-being description in social networks. Current corpus-based study explores the application of narrative analysis to evaluate subjective well-being through large-scale text data from social networks. It aims to develop alternative subjective indicators of well-being, offering an addition to traditional survey methods.