Design of the Multi-purpose Marketing Data Analysis Program: Using actual online sales data

Authors

  • Donggyu Choi Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea
  • Tae-su Wang Dong-eui University, Busan, Republic of Korea
  • Minyoung Kim Dong-eui University, Busan, Republic of Korea
  • Jongwook Jang Dong-eui University, Busan, Republic of Korea

DOI:

https://doi.org/10.15379/ijmst.v10i4.1872

Keywords:

Marketing, Data Analysis, Tools Program, Artificial Intelligence, Sentiment Analysis.

Abstract

Marketing is a strategy for the sale of goods. Most shopping malls and vendors value this, and it is also a measure of the company's success. To this end, strategies are established through marketing departments or specialized companies, and related data is collected directly. Data analysis uses some tools, but in the end, data must be collected directly, and most of the tools that collect automatically only use SNS networks. In this paper, we present a design method for programs that can be fundamentally utilized without customizing or providing the functions of existing data analysis tools. In the program, HTML structures for commonly used shopping malls, not SNS, are predefined and prepared for immediate use of crawling techniques, and some textual data are generated as Excel files. This can be applied in real time, and some artificial intelligence and emotional analysis are applied to the image to help make an objective evaluation.  

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Published

2023-09-19

How to Cite

[1]
D. . Choi, T.- su . Wang, M. . Kim, and J. . Jang, “Design of the Multi-purpose Marketing Data Analysis Program: Using actual online sales data”, ijmst, vol. 10, no. 4, pp. 134-142, Sep. 2023.