@article{ART003028397},
author={Sin-Nyum Choi and Woong Kim},
title={NFT(Non-Fungible Token) Patent Trend Analysis using Topic Modeling},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2023},
volume={28},
number={12},
pages={41-48},
doi={10.9708/jksci.2023.28.12.041}
TY - JOUR
AU - Sin-Nyum Choi
AU - Woong Kim
TI - NFT(Non-Fungible Token) Patent Trend Analysis using Topic Modeling
JO - Journal of The Korea Society of Computer and Information
PY - 2023
VL - 28
IS - 12
PB - The Korean Society Of Computer And Information
SP - 41
EP - 48
SN - 1598-849X
AB - In this paper, we propose an analysis of recent trends in the NFT (Non-Fungible Token) industry using topic modeling techniques, focusing on their universal application across various industrial fields. For this study, patent data was utilized to understand industry trends. We collected data on 371 domestic and 454 international NFT-related patents registered in the patent information search service KIPRIS from 2017, when the first NFT standard was introduced, to October 2023. In the preprocessing stage, stopwords and lemmas were removed, and only noun words were extracted. For the analysis, the top 50 words by frequency were listed, and their corresponding TF-IDF values were examined to derive key keywords of the industry trends. Next, Using the LDA algorithm, we identified four major latent topics within the patent data, both domestically and internationally. We analyzed these topics and presented our findings on NFT industry trends, underpinned by real-world industry cases. While previous review presented trends from an academic perspective using paper data, this study is significant as it provides practical trend information based on data rooted in field practice. It is expected to be a useful reference for professionals in the NFT industry for understanding market conditions and generating new items.
KW - NFT;LDA;TF-IDF;Patent;Topic Modeling
DO - 10.9708/jksci.2023.28.12.041
ER -
Sin-Nyum Choi and Woong Kim. (2023). NFT(Non-Fungible Token) Patent Trend Analysis using Topic Modeling. Journal of The Korea Society of Computer and Information, 28(12), 41-48.
Sin-Nyum Choi and Woong Kim. 2023, "NFT(Non-Fungible Token) Patent Trend Analysis using Topic Modeling", Journal of The Korea Society of Computer and Information, vol.28, no.12 pp.41-48. Available from: doi:10.9708/jksci.2023.28.12.041
Sin-Nyum Choi, Woong Kim "NFT(Non-Fungible Token) Patent Trend Analysis using Topic Modeling" Journal of The Korea Society of Computer and Information 28.12 pp.41-48 (2023) : 41.
Sin-Nyum Choi, Woong Kim. NFT(Non-Fungible Token) Patent Trend Analysis using Topic Modeling. 2023; 28(12), 41-48. Available from: doi:10.9708/jksci.2023.28.12.041
Sin-Nyum Choi and Woong Kim. "NFT(Non-Fungible Token) Patent Trend Analysis using Topic Modeling" Journal of The Korea Society of Computer and Information 28, no.12 (2023) : 41-48.doi: 10.9708/jksci.2023.28.12.041
Sin-Nyum Choi; Woong Kim. NFT(Non-Fungible Token) Patent Trend Analysis using Topic Modeling. Journal of The Korea Society of Computer and Information, 28(12), 41-48. doi: 10.9708/jksci.2023.28.12.041
Sin-Nyum Choi; Woong Kim. NFT(Non-Fungible Token) Patent Trend Analysis using Topic Modeling. Journal of The Korea Society of Computer and Information. 2023; 28(12) 41-48. doi: 10.9708/jksci.2023.28.12.041
Sin-Nyum Choi, Woong Kim. NFT(Non-Fungible Token) Patent Trend Analysis using Topic Modeling. 2023; 28(12), 41-48. Available from: doi:10.9708/jksci.2023.28.12.041
Sin-Nyum Choi and Woong Kim. "NFT(Non-Fungible Token) Patent Trend Analysis using Topic Modeling" Journal of The Korea Society of Computer and Information 28, no.12 (2023) : 41-48.doi: 10.9708/jksci.2023.28.12.041
