@article{ART002562176},
author={Dong Sung Kim and Kim, Hyung Suk},
title={A Hybrid Approach Using Python and Excel for Extracting Valid Cases in Content Analysis},
journal={Journal of Knowledge Information Technology and Systems},
issn={1975-7700},
year={2020},
volume={15},
number={1},
pages={103-111},
doi={10.34163/jkits.2020.15.1.010}
TY - JOUR
AU - Dong Sung Kim
AU - Kim, Hyung Suk
TI - A Hybrid Approach Using Python and Excel for Extracting Valid Cases in Content Analysis
JO - Journal of Knowledge Information Technology and Systems
PY - 2020
VL - 15
IS - 1
PB - Korea Knowledge Information Technology Society
SP - 103
EP - 111
SN - 1975-7700
AB - Recent big data gives scientists the opportunity to collect and analyze more quantity of data and more variety of data more quickly than they could ever do. 3Vs(Volume, Variety, Velocity), the basic characteristics of big data, can solve social science research’s key problems of generalization with research results, accessibility to necessary data, and excessive manpower or time. So, big data is attracting attention as a research method for social scientists. However, many researchers are blind and improperly applying big data without worrying and solving the representativeness and validity of the sample. Therefore, this study proposes a hybrid research method that can maximize the merits of both quantitative and qualitative research methods: generalization and validity. To do this, we researched the trend of fairness-oriented issues related to domestic large companies over a year and crawled 21,900 articles of Naver ranking news with Python using the BeautifulSoup library. And 1,876 final valid data for content analysis were extracted by using the FIND function of Excel. Consequently, we propose an alternative by modeling the process and method for content analysis: crawling news articles by python and filtering valid cases by Excel FIND function. After this research, it is expected that various collaborations will be carried out to create synergy between big data technologies and social science fields.
KW - Hybrid method;Valid cases extraction;Python;Excel FIND function;Web crawling;Content analysis;Big data
DO - 10.34163/jkits.2020.15.1.010
ER -
Dong Sung Kim and Kim, Hyung Suk. (2020). A Hybrid Approach Using Python and Excel for Extracting Valid Cases in Content Analysis. Journal of Knowledge Information Technology and Systems, 15(1), 103-111.
Dong Sung Kim and Kim, Hyung Suk. 2020, "A Hybrid Approach Using Python and Excel for Extracting Valid Cases in Content Analysis", Journal of Knowledge Information Technology and Systems, vol.15, no.1 pp.103-111. Available from: doi:10.34163/jkits.2020.15.1.010
Dong Sung Kim, Kim, Hyung Suk "A Hybrid Approach Using Python and Excel for Extracting Valid Cases in Content Analysis" Journal of Knowledge Information Technology and Systems 15.1 pp.103-111 (2020) : 103.
Dong Sung Kim, Kim, Hyung Suk. A Hybrid Approach Using Python and Excel for Extracting Valid Cases in Content Analysis. 2020; 15(1), 103-111. Available from: doi:10.34163/jkits.2020.15.1.010
Dong Sung Kim and Kim, Hyung Suk. "A Hybrid Approach Using Python and Excel for Extracting Valid Cases in Content Analysis" Journal of Knowledge Information Technology and Systems 15, no.1 (2020) : 103-111.doi: 10.34163/jkits.2020.15.1.010
Dong Sung Kim; Kim, Hyung Suk. A Hybrid Approach Using Python and Excel for Extracting Valid Cases in Content Analysis. Journal of Knowledge Information Technology and Systems, 15(1), 103-111. doi: 10.34163/jkits.2020.15.1.010
Dong Sung Kim; Kim, Hyung Suk. A Hybrid Approach Using Python and Excel for Extracting Valid Cases in Content Analysis. Journal of Knowledge Information Technology and Systems. 2020; 15(1) 103-111. doi: 10.34163/jkits.2020.15.1.010
Dong Sung Kim, Kim, Hyung Suk. A Hybrid Approach Using Python and Excel for Extracting Valid Cases in Content Analysis. 2020; 15(1), 103-111. Available from: doi:10.34163/jkits.2020.15.1.010
Dong Sung Kim and Kim, Hyung Suk. "A Hybrid Approach Using Python and Excel for Extracting Valid Cases in Content Analysis" Journal of Knowledge Information Technology and Systems 15, no.1 (2020) : 103-111.doi: 10.34163/jkits.2020.15.1.010
