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http://dx.doi.org/10.14400/JDC.2021.19.2.231

A Study on the Comparison and Semantic Analysis between SNS Big Data, Search Portal Trends and Drug Case Statistics  

Choi, Eunjung (Department of Information Security, Seoul Women's University)
Lee, SuRyeon (Department of Information Security, Seoul Women's University)
Kwon, Hyemin (Department of Information Security, Seoul Women's University)
Kim, Myuhngjoo (Department of Information Security, Seoul Women's University)
Lee, Insoo (Digital Investigations Division, Supreme Prosecutor's Office)
Lee, Seunghoon (Digital Investigations Division, Supreme Prosecutor's Office)
Publication Information
Journal of Digital Convergence / v.19, no.2, 2021 , pp. 231-238 More about this Journal
Abstract
SNS data can catch the user's thoughts and actions. And the trend of the search portal is a representative service that can observe the interests of users and their changes. In this paper, the relationship was analyzed by comparing statistics on narcotics incidents and the degree of exposure to narcotics related words in tweets of SNS and in the trends of search portal. It was confirmed that the trend of SNS and search portal trends was the same in the statistics of the prosecution office with a certain time difference.In addition, cluster analysis was performed to understand the meaning of tweets in which narcotics related words were mentioned. In the 50,000 tweets collected in January 2020, it was possible to find meaning related to the sale of actual drugs. Therefore, through SNS monitoring alone it is possible to monitor narcotics-related incidents and to find specific sales or purchase-related information, and this can be used in the investigation process. In the future, it is expected that crime monitoring and prediction systems can be proposed as related crime analysis may be possible not only with text but also images.
Keywords
Social Network; Big Data Analysis; Cluster Analylsis; Semantic Analysis; Comparison Analysis;
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