Earticle

초록

영어

Big data has a lot of influence around the world. Singapore, EU, United States, and Japan have been trying to find national long-term policies and future issues through Big Data. Korea also established Big Data strategy center to find new growth power. So, we tried to analyze various issue technologies through Big Data analysis methods. Issue technologies are Big Data, 3D printing, Internet of Things (IoT), wearable computing devices (Smart watch and Google glasses) which are introduced by National IT Industry Promotion Agency, Gartner, and SK C&C. We think the end users of technology are public, and SNS is a suitable place to share their thoughts. Otherwise, News uses easy words to understand and delivers the information for public. This study proposes a new approach predicting the future of technologies by simulating human brains: left and right brains. For this this study analyzed SNS data and News data by using text mining and opinion mining. With the sensitivity of SNS and the logicality of News, we found elements of technologies and classified them by positivity and negativity. And then, we did three analyses using Futures Wheel. First, the element analysis of five technologies was conducted. Second, we used these elements to predict the future of technologies. Finally, the possibility of convergence of five technologies was confirmed. This paper has three contributions. First, we found the opportunity and threaten elements of five technologies. Second, we predicted the future of technologies with these elements. Third, we identified the opportunity and threaten elements for the convergence of each technology.

목차

Abstract
1. INTRODUCTION
2. THEORETICAL BACKGROUND
2.1. Bigdata as Tools for the Research
2.2. Sentiment Analysis
2.3. Technology Prediction
3. RESEARCH METHODS AND PROCEDURES
3.1. Future Wheel
3.2. Bigdata Analysis
4. DATA COLLECTION
4.1. SNS Data and News Data
4.2. Target Analysis
4.3. Data Collection
5. DATA ANALYSIS
5.1. Elements Analysis
5.2. Analysis of Weights and Future Prediction
5.3. Analysis on Convergence of Technologies
6. CONCLUSION
6.1. Significance of this Research
6.2. Limitations of Research and Future Directions
REFERENCES

키워드

저자

• Jee-Yeon Yoo [ School of Business, Sogang University, PA705, 35 Baekbeom-ro, Mapo-gu, Seoul, 04107, Rep of Korea ]
• Jee-Ah Shin [ School of Business, Sogang University, PA705, 35 Baekbeom-ro, Mapo-gu, Seoul, 04107, Rep of Korea ]
• Jin-Hwa Kim [ School of Business, Sogang University, PA705, 35 Baekbeom-ro, Mapo-gu, Seoul, 04107, Rep of Korea ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Intelligent Technologies and Innovative Practices

• 간기

  계간

• eISSN

  3092-412X

• 수록기간

  2026~2026

• 십진분류

  KDC 323 DDC 338