http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
박상정(Sang Jung Park) 산업기술교육훈련학회 2018 산업기술연구논문지 (JITR) Vol.23 No.1
Recently, Internet use has increased and lives in the flood of information. This rapid increase in data is difficult to deal with in traditional processing methods, creating a new approach to dealing with Big Data processing, and being leveraged in a wide variety of fields. Public data has also been opened to the public, making it easier to organize and visualize data in sectors of society, enabling efficient and productive information. Python is a program language suitable for handling Big Data because it is highly readable and has a variety of modules and built-in functions that make Big Data processing and analysis easy. Since it is easy to access data about non expert and provides open-source packages for handling information in non-English languages like Korean, it is easy to obtain and visualize SNS data and visually.