Abstract:
This paper aims to research the possibility of detecting regional sentiment by analyzing Social Media Big Data (SMBD). It can be said that the vast majority of people with some form of internet access participate in one Social Media platform or the other. The importance of the insight derivable from SMBD cannot be overemphasized. Many theories have been postulated that show that human emotion is extremely powerful and drives our thought process. Noting that our communication is driven by our thoughts makes social media data a huge wealth of information from which an average regional sentiment analysis can be deduced. This sentimental knowledge becomes a valuable tool in policing (security) and marketing (commerce).
