Unveiling the tapestry of mother–child interactions through text mining and sentiment analysis
This study utilized text mining and sentiment analysis on mother-child conversations to examine the developmental trends in their interactions from early to middle childhood. The findings revealed a shift towards more balanced interactions as children age, with increased turn-taking dynamics and linguistic congruence, as well as a complex interdependence of expressed emotions between mothers and children over time.