  The wealth of Social Big Data (SBD) represents a unique opportunity for
organisations to obtain the excessive use of such data abundance to increase
their revenues. Hence, there is an imperative need to capture, load, store,
process, analyse, transform, interpret, and visualise such manifold social
datasets to develop meaningful insights that are specific to an application
domain. This paper lays the theoretical background by introducing the
state-of-the-art literature review of the research topic. This is associated
with a critical evaluation of the current approaches, and fortified with
certain recommendations indicated to bridge the research gap.
