JICS

1. Analyzing Research Themes and Trends in Living Lab Studies: An Exploratory Approach Using LDA Topic Modeling and Semantic Network 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

2. A Study on Success Strategies for Generative AI Services in Mobile Environments: Analyzing User Experience Using LDA Topic Modeling Approach

Soyon Kim, Ji Yeon Cho, Sang-Yeol Park, Bong Gyou Lee, Vol. 25, No. 4, pp. 109-119, Aug. 2024

10.7472/jksii.2024.25.4.109
Keywords: Generative AI Chatbot Service, On-Device AI, IS success model, User eXperience, LDA Topic Modeling

3. Fine-tuning BERT-based NLP Models for Sentiment Analysis of Korean Reviews: Optimizing the sequence length

Sunga Hwang, Seyeon Park, Beakcheol Jang, Vol. 25, No. 4, pp. 47-56, Aug. 2024

10.7472/jksii.2024.25.4.47
Keywords: BERT, hyperparameter fine-tuning, input sequence length, topic modeling, sentiment analysis, Korean review analysis

4. News Media Coverage of Carbon Neutrality in Korea and China: A Big Data Analysis

Yifan Wang, Kyung Han You, Vol. 25, No. 3, pp. 55-70, Jun. 2024

10.7472/jksii.2024.25.3.55
Keywords: carbon neutrality, agenda-setting, topic modeling, concor analysis

5. Comparative Study of User Reactions in OTT Service Platforms Using Text Mining

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

6. Performance Improvement of Topic Modeling using BART based Document Summarization

Eun Su Kim, Hyun Yoo, Kyungyong Chung, Vol. 25, No. 3, pp. 27-33, Jun. 2024

10.7472/jksii.2024.25.3.27
Keywords: Document Summarization, BART, topic modeling, LDA, Perplexity, ROUGE

7. Analysis of Users’ Sentiments and Needs for ChatGPT through Social Media on Reddit

Hye-In Na, Byeong-Hee Lee, Vol. 25, No. 2, pp. 79-92, Apr. 2024

10.7472/jksii.2024.25.2.79
Keywords: ChatGPT, Reddit, Needmining, sentiment analysis, topic modeling

8. 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)

9. A Study on Analysis of national R&D research trends for Artificial Intelligence using LDA topic modeling

MyungSeok Yang, SungHee Lee, KeunHee Park, KwangNam Choi, TaeHyun Kim, Vol. 22, No. 5, pp. 47-55, Oct. 2021

10.7472/jksii.2021.22.5.47
Keywords: topic modeling, Artificial intelligence, National Research and Development Program, research trend, NTIS

10. Active Senior Contents Trend Analysis using LDA Topic Modeling

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