Analyzing mass information and supporting future insight based on analysis results are very important work but it requires much effort and time. Information analysis and future predictions about the science and IT field data are also very critical tasks for researchers, government officers, businessman, etc. Therefore, in this paper, we propose a technology opportunity discovery (TOD) model based on feature selection and decision making for effective, systematic, and objective information analysis and future forecasting in the science and IT fields. In addition, we execute a comparative evaluation between the suggested TOD model and Gartne forecasting model for validating the suggested model.