A Survey on Social Media Analytics using Text
Mining
Journal:
GRENZE International Journal of Computer Theory and Engineering
Authors:
Supreetha Pai, Sowmya S R
Volume:
3
Issue:
4
Grenze ID:
01.GIJCTE.3.4.35
Pages:
236-240
Abstract
In the few years social media analytics has gained a very important role in
people’s life.Text mining techniques enable the user to identify patterns and relationships
which exist within a body of texts which would otherwise be extremely difficult or timeconsuming
to discover. There is wide variety of social media channels with huge amount of
data available. The challenge comes in accessing that data and transforming it into
something that is usable and actionable. Generally, organizations want to use the social
media data to understand the needs and behaviour of their customers or specific targeted
groups of individuals with respect to the organization’s current or future products or
services.. In this paper a survey on social media analysis using text mining is discussed.