Design of Customized Local Information System Based on Big Data Analysis

摘要

With the development of information technology, there is more active communication and sharing of information through SNS, which is increasing unstructured data. The increase in unstructured data is occurring in text mining, based on natural language process technology, and opinion mining, based on specific language process, which includes positive and negative. The studies that are currently gaining attention are social network analysis based on the analysis of connection structure between agents, and cluster analysis, which form groups of similar characteristics. So this study aimed to make information easily available by providing local information based on user's location and by providing customized data through big data analysis, which uses open source-based statistical langue R. It especially focused on information about job-searching and recruiting, direct transaction, and foods and restaurants.