Standardizing Unstructured Big Data and Visual Interpretation using MapReduce and Correspondence Analysis

Massive and various types of data recorded everywhere are called big data. Therefore, it is important to analyze big data and to find valuable information. Besides, to standardize unstructured big data is important for the application of statistical methods. In this paper, we will show how to standardize unstructured big data using MapReduce which is a distribution processing system. We also apply simple correspondence analysis and multiple correspondence analysis to find the relationship and characteristic of direct relationship words for Samsung Electronics and The Korea Economic Daily newspaper as well as Apple Inc.