Earticle

초록

영어

In the era of the Fourth Industrial Revolution, digital transformation, which means changes in all industrial structures, politics, economics and society as well as IT technology, is an important issue. It is difficult to know which research topic is being studied because digital transformation is being studied in various fields. Convergence research is possible because a research topic is studied in various fields such as computer science area and Decision science area. However, it is difficult to know the specific research status of the research topic. In this study, eight research topics were derived using the topic modeling technique of text mining for abstract of academic literature and the trend of each topic was analyzed. We also proposed to create a Topic-Word Proportions Table in the LDA based Topic modeling process to predict the topic of new literature. The results of this study are expected to contribute to advanced convergence research on topic of digital transformation. It is expected that the literature related to each research topic will be grasped and contribute to the design of a new convergence research.

목차

Abstract
1. INTRODUCTION
2. RELATED WORKS
2.1 The Fourth Industrial Revolution and Digital Transformation
2.2 LDA based Topic Modeling
3. RESEARCH METHODS
3.1 Research Framework
3.2 Data Collection
3.3 Data Pre-processing
3.4 Topic modeling
4. RESULTS AND DISCUSSION
4.1 Topic Analysis Results
4.2 Trend Analysis Results
4.3 Topic Class Prediction
5. CONCULISON
REFERENCES

키워드

저자

• JeeYoung Lee [ Dept.of Software, Seokyeong University, Korea ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  The International Journal of Advanced Smart Convergence

• 간기

  계간

• pISSN

  2288-2847

• eISSN

  2288-2855

• 수록기간

  2012~2025

• 십진분류

  KDC 326 DDC 380