빅데이터 분석을 활용한 범죄와 호신술의 연관어 분석 = Analysis of the Related Words of Crime and Self-Defense Using Big Data Analysis

다국어 초록 (Multilingual Abstract)

Modern society is changing rapidly, and crime is constantly occurring. Amid the threat of various crimes, self-defense can be a way for individuals to protect their own personal safety, and it can act as a factor that can lower fear and anxiety about crime by training the mind as well as physical training. Therefore, in this study, big data from the last 10 years (20131.1.1.2023.12.31) was collected using the keyword "Crime + Self-Defense," and network analysis, CONCOR analysis, and Sentiment analysis were conducted. Through this, we tried to lay the foundation for the development of self-defense technology and provide basic data by grasping the public's perception and interest in self-defense technology in crime.
As a result of network analysis, education, women, targets, crime prevention, safety, prevention, lectures, and crime cities were found in the order of frequency, and the frequency of simultaneous occurrence was high in the order of education, target, safety, women, and crime prevention. As a result of the CONCOR analysis, the group with the largest number of words had necessity and method, followed by preventive education and target, crime city, and recommendation. As a result of emotional analysis, it was confirmed that positive keywords were 17.6% more than negative keywords, and through emotional word cloud analysis, words such as good, recommendation, anxiety, relief, scary, crying, special, want, worry, and difficult were confirmed.
The conclusions obtained through the analysis results are as follows. First, in order to prevent crime, systematic self-defense education for women needs to be newly prepared, and self-defense needs to be further exposed in a positive direction through various movies and media. Second, self-defense can be a very important countermeasure to personal threats. Third, it is necessary to create an image of self-defense that is more interesting than the present, reduce rejection, and develop self-defense techniques that can be learned more intuitively and efficiently than difficult and difficult self-defense techniques.
This study is significant in that it collects vast amounts of data, studies text data containing both crime and self-defense techniques, provides basic data for future self-defense-related research, and draws important implications for the development of self-defense techniques. It is hoped that self-defense skills developed from crimes in the diversified modern society will establish themselves as a good countermeasure.