Persona Analytics: Analyzing the stability of online segments and content interests over time using non-negative matrix factorization

Personified big data and rapidly developing data science techniques enable previously unforeseen methodological developments for longitudinal analysis of online audiences.  Applying data-driven persona generation on online customer statistics from a real organizational social media channel, we demonstrate how personas can be deployed to understand online customer patterns over time.  We conduct 32 monthly rounds of…… Continue reading Persona Analytics: Analyzing the stability of online segments and content interests over time using non-negative matrix factorization