It is time to prepare for the future: forecasting social trends

A social issue is what arises when the public discuss a specific event. Recently, many large Internet based service companies provide new trends services that display the emerging issues based on their data, for example, Google displays “top 10 most searched topics” every hour. Those emerging issues reflect the trend of public interest. Forecasting those issues helps the user to prepare for the future. In this paper, we present our research on proposing the social issue-forecasting model. To do so, we first collected social issue keyword from Google Trends for 3 months since it is based on the large scale of public data. We apply the k-nearest neighbor algorithm, which is the pattern recognition technology for recognizing the complex patterns and trends. To improve the accuracy, we applied Ripple Down Rules.