• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/

Digital Library


Search: "[ keyword: 토픽 모델 ]" (7)
  1. 1. Evaluation of Topic Models with regard to N-gram Changes in Topic Representations: Focusing on Coherence and Diversity
    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
  2. 2. Application of BERTopic Model for Technological Trends Analysis : A Case study on the Contech and Proptech Industry
    Woomin Nam, Jaehoon Yang, Keon Chul Park, Vol. 25, No. 6, pp. 71-80, Dec. 2024
    10.7472/jksii.2024.25.6.71
    Keywords: ConTech, PropTech, topic modeling, BERTopic, Emerging Technology Analysis
  3. 3. Fine-tuning BERT-based NLP Models for Sentiment Analysis of Korean Reviews: Optimizing the sequence length
  4. 4. 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
  5. 5. 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
  6. 6. 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
  7. 7. A Proofreader Matching Method Based on Topic Modeling Using the Importance of Documents
    Yeonbin Son, Hyeontae An, Yerim Choi, Vol. 19, No. 4, pp. 27-33, Aug. 2018
    10.7472/jksii.2018.19.4.27
    Keywords: Manuscript proofreading, proofreader matching, topic modeling, importance of document