JICS

1. Exploring Data Augmentation Ratios for YOLO-Based Multi-Category Clothing Image Classification by Model Size

Seyeon Park, Sunga Hwang, Beakcheol Jang, Vol. 25, No. 5, pp. 95-105, Oct. 2024

10.7472/jksii.2024.25.5.95
Keywords: clothing classification, Object Detection, color extraction, hyper-parameter fine-tuning, Image Augmentation

2. 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

3. 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

4. Optimizing Language Models through Dataset-Specific Post-Training: A Focus on Financial Sentiment Analysis

Hui Do Jung, Jae Heon Kim, Beakcheol Jang, Vol. 25, No. 1, pp. 57-67, Feb. 2024

10.7472/jksii.2024.25.1.57
Keywords: BERT, FinBERT, Financial Sentiment Analysis, post-training, Pre-training Dataset

5. FinBERT Fine-Tuning for Sentiment Analysis: Exploring the Effectiveness of Datasets and Hyperparameters

Jae Heon Kim, Hui Do Jung, Beakcheol Jang, Vol. 24, No. 4, pp. 127-135, Aug. 2023

10.7472/jksii.2023.24.4.127
Keywords: FinBERT, Financial Sentiment Analysis, Fine-Tuning hyperparameters

6. Comparative Study of Keyword Extraction Models in Biomedical Domain

Donghee Lee, Soonchan Kwon, Beakcheol Jang, Vol. 24, No. 4, pp. 77-84, Aug. 2023

10.7472/jksii.2023.24.4.77
Keywords: Keyword Extraction, NLP, deeplearning, Biomedicine

7. A Comparison Study of RNN, CNN, and GAN Models in Sequential Recommendation

Ji Hyung Yoon, Jaewon Chung, Beakcheol Jang, Vol. 23, No. 4, pp. 21-33, Aug. 2022

10.7472/jksii.2022.23.4.21
Keywords: Recommender System, RNN, CNN, GAN, Deep Learning, sequence modeling

8. Prediction of infectious diseases using multiple web data and LSTM

Yeongha Kim, Inhwan Kim, Beakcheol Jang, Vol. 21, No. 5, pp. 139-148, Oct. 2020

10.7472/jksii.2020.21.5.139
Keywords: Machine Learning, Predict infectious diseases, Web data, LSTM