Digital Library


Search: "[ author: Hyon Hee Kim ]" (7)
    An XML-based Multimedia News Management System
    Hyon Hee Kim , Seung Soo Park The KIPS Transactions:PartB , Vol. 11, No. 7, pp. 785-792, Dec. 2004
    10.3745/KIPSTB.2004.11.7.785


    Deep Learning-Based Personalized Recommendation Using Customer Behavior and Purchase History in E-Commerce
    Da Young Hong, Ga Yeong Kim, Hyon Hee Kim KIPS Transactions on Software and Data Engineering, Vol. 11, No. 6, pp. 237-244, Jun. 2022
    https://doi.org/10.3745/KTSDE.2022.11.6.237
    Keywords: Online Behavior Log, Purchase History, VAE-based Recommendation, Extracting Latent Space


    Detection of Adverse Drug Reactions Using Drug Reviews with BERT+ Algorithm
    Eun Yeong Heo, Hyeon-jeong Jeong, Hyon Hee Kim KIPS Transactions on Software and Data Engineering, Vol. 10, No. 11, pp. 465-472, Nov. 2021
    https://doi.org/10.3745/KTSDE.2021.10.11.465
    Keywords: Detection of ADRs, Drug Reviews, sentiment analysis, named entity recognition, ADRs Dictionary


    A Technique for Product Effect Analysis Using Online Customer Reviews
    Young Seo Lim, So Yeong Lee, Ji Na Lee, Bo Kyung Ryu, Hyon Hee Kim KIPS Transactions on Software and Data Engineering, Vol. 9, No. 9, pp. 259-266, Sep. 2020
    https://doi.org/10.3745/KTSDE.2020.9.9.259
    Keywords: Product Effectiveness Analysis, Effectiveness Measurement Algorithm, Online Customer Review


    Topic Analysis of the National Petition Site and Prediction of Answerable Petitions Based on Deep Learning
    Woo Yun Hui, Hyon Hee Kim KIPS Transactions on Software and Data Engineering, Vol. 9, No. 2, pp. 45-52, Feb. 2020
    https://doi.org/10.3745/KTSDE.2020.9.2.45  
    Keywords: National Petition, Topic Analysis, topic modeling, K-Means Clustering, LSTM, Deep Learning


    Keywords and Topic Analysis of Social Issues on Twitter Based on Text Mining and Topic Modeling
    Soo Jeong Kwak, Hyon Hee Kim KIPS Transactions on Software and Data Engineering, Vol. 8, No. 1, pp. 13-18, Jan. 2019
    https://doi.org/10.3745/KTSDE.2019.8.1.13
    Keywords: topic modeling, Keyword Analysis, Text Mining, Twitter, Metoo


    An Analysis of Effects of Emergency Fine Dust Reduction Measures and National Petition Using Regression Analysis and Text Mining
    Annie Kim, So-Hee Jeong, Hyun-Bin Choi, Hyon Hee Kim KIPS Transactions on Software and Data Engineering, Vol. 7, No. 11, pp. 427-434, Nov. 2018
    10.3745/KTSDE.2018.7.11.427
    Keywords: Fine Dust, Transportation, Regression, Text Mining, topic modeling