  The Ubiquitous nature of smartphones has significantly increased the use of
social media platforms, such as Facebook, Twitter, TikTok, and LinkedIn, etc.,
among the public, government, and businesses. Facebook generated ~70 billion
USD in 2019 in advertisement revenues alone, a ~27% increase from the previous
year. Social media has also played a strong role in outbreaks of social
protests responsible for political changes in different countries. As we can
see from the above examples, social media plays a big role in business
intelligence and international politics. In this paper, we present and discuss
a high-level functional intelligence model (recipe) of Social Media Analysis
(SMA). This model synthesizes the input data and uses operational intelligence
to provide actionable recommendations. In addition, it also matches the
synthesized function of the experiences and learning gained from the
environment. The SMA model presented is independent of the application domain,
and can be applied to different domains, such as Education, Healthcare and
Government, etc. Finally, we also present some of the challenges faced by SMA
and how the SMA model presented in this paper solves them.
