Digital Library
Search: "[ keyword: Text Mining ]" (20)
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Hyun-Jung Park, Tae-Min Lee, Heui-Seok Lim, Vol. 26, No. 1, pp. 19-33, Feb. 2025
10.7472/jksii.2025.26.1.19
Keywords: Topic Model, Text Mining, Coherence, diversity, 1~N-gram Topic Representation, LDA, BERTopic -
Miyoung Kim, Sunju Park, Vol. 25, No. 6, pp. 49-59, Dec. 2024
10.7472/jksii.2024.25.6.49
Keywords: Hallyu(Korea wave), Text Mining, topic modeling, Network analysis, Quantitative Analysis -
Ki-youn Kim, Vol. 25, No. 5, pp. 171-182, Oct. 2024
10.7472/jksii.2024.25.5.171
Keywords: Living Lab, Research Trends, LDA Topic Modeling, Semantic Network Analysis, Text Mining, Unstructured Data -
Soonchan Kwon, Jieun Kim, Beakcheol Jang, Vol. 25, No. 3, pp. 43-54, Jun. 2024
10.7472/jksii.2024.25.3.43
Keywords: OTT Services, Machine Learning, Text Mining, topic modeling, BERTopic, Deep Learning -
5. A Comparative Study on the Social Awareness of Metaverse in Korea and China: Using Big Data AnalysisKi-youn Kim, Vol. 24, No. 1, pp. 71-86, Feb. 2023
10.7472/jksii.2023.24.1.71
Keywords: Metaverse, Social Awareness, Big data, Semantic Network, CONCOR, Text Mining, Comparative Study -
Woo-Min Nam, Keon Chul Park, Vol. 23, No. 6, pp. 79-86, Dec. 2022
10.7472/jksii.2022.23.6.79
Keywords: Smart City, Citizen Participation, Research Trend Analysis, Text Mining, topic modeling, Latent Dirchlet Allocation(LDA) -
Dae-gyu Kim, Chang-soo Kim, Vol. 23, No. 2, pp. 61-70, Apr. 2022
10.7472/jksii.2022.23.2.61
Keywords: Hidden Vault Application, Anti-forensics, XML, Text Mining, Keyword Frequency Analysis -
Dongwoo Lee, Yoosin Kim, Eunjung Shin, Vol. 22, No. 5, pp. 35-45, Oct. 2021
10.7472/jksii.2021.22.5.35
Keywords: Active Senior, Big data, Text Mining, LDA Topic Modeling, Trend Analysis -
Ki-youn Kim, Vol. 21, No. 4, pp. 97-107, Aug. 2020
10.7472/jksii.2020.21.4.97
Keywords: Share economy, Meta study, Data visualization, Text Mining, Big data analytics, Network analysis, research trend -
Ji-hee Ha, Tae-jin Lee, Vol. 21, No. 1, pp. 45-55, Feb. 2020
10.7472/jksii.2020.21.1.45
Keywords: Malware, Malware analysis, String, Text Mining, TFIDF