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논문검색

Technology Convergence (TC)

Deep Learning Research Trend Analysis using Text Mining

원문정보

초록

영어

Since the third artificial intelligence boom was triggered by deep learning, it has been 10 years. It is time to analyze and discuss the research trends of deep learning for the stable development of AI. In this regard, this study systematically analyzes the trends of research on deep learning over the past 10 years. We collected research literature on deep learning and performed LDA based topic modeling analysis. We analyzed trends by topic over 10 years. We have also identified differences among the major research countries, China, the United States, South Korea, and United Kingdom. The results of this study will provide insights into research direction on deep learning in the future, and provide implications for the stable development strategy of deep learning.

목차

Abstract
1. INTRODUCTION
2. RELATED WORKS
2.1 Deep learning
2.2 Text mining and LDA based topic modeling
3. RESEARCH METHODS
3.1 Data collection
3.2 Data preprocessing
3.3 Topic modeling
3.4 Normalized topic frequency
4. RESULTS AND DISCUSSION
4.1 Results of topic analysis on deep learning
4.2 Topic frequency trend
5. CONCLUSION
REFERENCE

저자정보

  • Jee Young Lee Department of Software, SeoKyeong University, Korea

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