Abstract
In the practice of data mining, it sometimes happens that the user cannot get business meanings only from the extracted rules and cannot derive insights. For such situation, in this research, we use text mining for the trend analysis and get results that can be utilized for filtering data mining results. In order to acquire valuable knowledge through text mining, it is generally critical to identify important expressions to be monitored and compared within the textual data. In this paper, we propose the method to reach to the trends leading to the insights in the marketing analysis and show how we can utilize the text mining results for filtering data mining results. Through the analysis of real textual data for the market analysis of a garbage disposal, we will show that we can effectively get insights through the proposed method.
