Customer Preference Analysis Based on SNS Data

Due to rapid improvement of information technology, the emergence of various information channels such as mobile devices and social media has been producing tremendous amount of data. The evolution of smartphones and social network services (SNS) leads to the big data era. The research for unstructured, large and varied data, has been going on for more systematic and appropriate ways of collection and analysis. In this paper, Twitter data has been collected, stored and analyzed in a multi-dimensional fashion on top of Hadoop platform in order to find out what kind of factors can affect the customer preference for the smartphones. About 600,000 Twitter data has been collected for one month and the analysis result shows the most popular smartphone, the most interesting attributes in the smartphones, and the maker the customers most interested in.