Research for the Pattern Analysis of Individual Interest Using SNS Data: Focusing on Facebook

The number of global SNS users is rapidly increasing because SNS is executed by the device called Smartphone and enables the users to overcome time and space barrier with low cost. This would be a proof that the SNS is deeply involved in the communication between many people and related data is continuously increasing. Like this, data volume for SNS continues to increase due to the increasing users and the experts are doing the research considering data reusability. In particular, even though there are many researches to provide the individually customized information using the comments which exist in the SNS, there is a limitation to get the personal information due to the number of characters (approximately 150 words) which is a characteristic of SNS. However, most data which are written by the users still exist because of the characteristic of SNS and continuously stored data are considered to be the data which could sufficiently identify the characteristics of the individual users. Therefore in this paper, interested areas of the individuals are to be identified using the comments of individual users and their friends, and the patterns are to be analyzed in each interested area and finally, the analyzed data will be used for future research.