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With the rapid growth and development of communication technology, it has been possible to develop diverse digital devices. At the same time, more people have become aware of the importance of online spaces. In fact, diverse data are stored online in realtime, having a significant influence on people’s lives. In particular, ‘texts’ categorized as unstructured data have been influential in diverse fields including personal life. Therefore, text research techniques, methodologies and institutes have appeared. With the popularity of K-beauty around the world, related data in cosmetology industry have also been accumulated on a realtime basis. Under these circumstances, there is a necessity to discuss industrial development through analysis. This study attempted to extract hairstyling-related keywords and analyze top frequency texts, using text mining among diverse big data analysis techniques. The goal is to understand how such texts are connected in awareness of keywords and figure out the current situation of hairstyling industry. It is anticipated that the study results would be available as basic data for big data research. It is also expected that there would be further studies on big data for the development of Korean beauty industry.
Kim et al. (Wed,) studied this question.