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.

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