Mining Usable Customer feedback from Social networkind data for Business Intelligence

Abstract

Business Organizations want to use the social media sites(SNS) data to understand the needs and behaviour of their customers of specific targeted groups of individuals with respect to the organizations' current or future products or services.SNS frequently discuss consumer products or services-from movies and restarants to hotels and politics.These shared customers opinions have become highly valuable to businesses and organizations large and small. To increase competitive advantage and effectively assess the competitive environment of businesses , companies need to monitor and analyze not only the data on thier oown SNS,but also the data on thier compitiors in different SNS.In this paper we have addressed the application of text mining methods to harness the large amount of unstructured data and transform it into structured information and then predict variety of customer trends and behaviour which is an important source of input for business intelligence to improve the chances of profitability and forecast the future business expansion.