@article{ART003218501},
author={Chae-Jin LIM and Jung Soo Han and Hyun-Seob Lee},
title={Data-Based Contest Analysis Framework Design: Using Text Mining to Derive Insights for Contest Planning},
journal={Journal of Internet of Things and Convergence},
issn={2466-0078},
year={2025},
volume={11},
number={3},
pages={11-17}
TY - JOUR
AU - Chae-Jin LIM
AU - Jung Soo Han
AU - Hyun-Seob Lee
TI - Data-Based Contest Analysis Framework Design: Using Text Mining to Derive Insights for Contest Planning
JO - Journal of Internet of Things and Convergence
PY - 2025
VL - 11
IS - 3
PB - The Korea Internet of Things Society
SP - 11
EP - 17
SN - 2466-0078
AB - In 2014, the number of contests held in Korea was about 4,000, and it is expected to increase to about 10,000 by 2024. The number of contests is steadily increasing by sector. It's becoming increasingly important for contest organisers to select topics efficiently to maximise impact while reducing costs. This increases the need for data-driven analytical tools to help them do this. In this study, we propose a framework to analyse 7,587 (5,646 after deduplication) comic contest data from 2011 to 2024 using text mining techniques. Through an analysis methodology that combines TF-IDF and Word2Vec, we propose a methodology that reflects the frequency of keyword occurrence and semantic associations together, and comprehensively identifies trends over time to provide practical insights for contest planners. The framework creates a ranking of important keywords through a composite vector of frequency-based importance scores and semantics. Finally, it calculates a trend metric that spans the entire time period by averaging the percentage change from year to year.
KW - Contest;Comics;Text-mining;Big-Data Analysis;Converging content & technology
DO -
UR -
ER -
Chae-Jin LIM, Jung Soo Han and Hyun-Seob Lee. (2025). Data-Based Contest Analysis Framework Design: Using Text Mining to Derive Insights for Contest Planning. Journal of Internet of Things and Convergence, 11(3), 11-17.
Chae-Jin LIM, Jung Soo Han and Hyun-Seob Lee. 2025, "Data-Based Contest Analysis Framework Design: Using Text Mining to Derive Insights for Contest Planning", Journal of Internet of Things and Convergence, vol.11, no.3 pp.11-17.
Chae-Jin LIM, Jung Soo Han, Hyun-Seob Lee "Data-Based Contest Analysis Framework Design: Using Text Mining to Derive Insights for Contest Planning" Journal of Internet of Things and Convergence 11.3 pp.11-17 (2025) : 11.
Chae-Jin LIM, Jung Soo Han, Hyun-Seob Lee. Data-Based Contest Analysis Framework Design: Using Text Mining to Derive Insights for Contest Planning. 2025; 11(3), 11-17.
Chae-Jin LIM, Jung Soo Han and Hyun-Seob Lee. "Data-Based Contest Analysis Framework Design: Using Text Mining to Derive Insights for Contest Planning" Journal of Internet of Things and Convergence 11, no.3 (2025) : 11-17.
Chae-Jin LIM; Jung Soo Han; Hyun-Seob Lee. Data-Based Contest Analysis Framework Design: Using Text Mining to Derive Insights for Contest Planning. Journal of Internet of Things and Convergence, 11(3), 11-17.
Chae-Jin LIM; Jung Soo Han; Hyun-Seob Lee. Data-Based Contest Analysis Framework Design: Using Text Mining to Derive Insights for Contest Planning. Journal of Internet of Things and Convergence. 2025; 11(3) 11-17.
Chae-Jin LIM, Jung Soo Han, Hyun-Seob Lee. Data-Based Contest Analysis Framework Design: Using Text Mining to Derive Insights for Contest Planning. 2025; 11(3), 11-17.
Chae-Jin LIM, Jung Soo Han and Hyun-Seob Lee. "Data-Based Contest Analysis Framework Design: Using Text Mining to Derive Insights for Contest Planning" Journal of Internet of Things and Convergence 11, no.3 (2025) : 11-17.
