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http://dx.doi.org/10.17661/jkiiect.2020.13.4.283

Trend Analysis of Korea Papers in the Fields of 'Artificial Intelligence', 'Machine Learning' and 'Deep Learning'  

Park, Hong-Jin (Dep. of Computer Engineering, Sangji University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.13, no.4, 2020 , pp. 283-292 More about this Journal
Abstract
Artificial intelligence, which is one of the representative images of the 4th industrial revolution, has been highly recognized since 2016. This paper analyzed domestic paper trends for 'Artificial Intelligence', 'Machine Learning', and 'Deep Learning' among the domestic papers provided by the Korea Academic Education and Information Service. There are approximately 10,000 searched papers, and word count analysis, topic modeling and semantic network is used to analyze paper's trends. As a result of analyzing the extracted papers, compared to 2015, in 2016, it increased 600% in the field of artificial intelligence, 176% in machine learning, and 316% in the field of deep learning. In machine learning, a support vector machine model has been studied, and in deep learning, convolutional neural networks using TensorFlow are widely used in deep learning. This paper can provide help in setting future research directions in the fields of 'artificial intelligence', 'machine learning', and 'deep learning'.
Keywords
Artificial Intelligence; Deep Learning; Machine Learning; Paper trend; Semantic Network; Topic Modeling; Word Count Analysis;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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