JICS

1. A Comparative Study on the Social Awareness of Metaverse in Korea and China: Using Big Data Analysis

Ki-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

2. Civic Participation in Smart City : A Role and Direction

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)

3. A Study on the Feature Point Extraction Methodology based on XML for Searching Hidden Vault Anti-Forensics Apps

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

4. A Study on the Research Trends for Smart City using Topic Modeling

Keon Chul Park, Chi Hyung Lee, Vol. 20, No. 3, pp. 119-128, Jun. 2019

10.7472/jksii.2019.20.3.119
Keywords: Smart City, Research Trend Analysis, Text Mining, topic modeling, Latent Dirichlet Allocation(LDA)

5. Electronic-Composit Consumer Sentiment Index(CCSI) development by Social Bigdata Analysis

Yoosin Kim, Sung-Gwan Hong, Hee-Joo Kang, Seung-Ryul Jeong, Vol. 18, No. 4, pp. 121-0, Aug. 2017

10.7472/jksii.2017.18.4.121
Keywords: e-Consumer Sentiment Index, Text Mining, Ontology, sentiment analysis

6. Korean Collective Intelligence in Sharing Economy Using R Programming: A Text Mining and Time Series Analysis Approach

Jae Won Kim, You Dong Yun, Yu Jin Jung, Ki Youn Kim, Vol. 17, No. 5, pp. 151-160, Oct. 2016

10.7472/jksii.2016.17.5.151
Keywords: Sharing Economy, Collective Intelligence, Text Mining, Big data, R-programming, time series analysis