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NTIS 바로가기한국전자통신학회 논문지 = The Journal of the Korea Institute of Electronic Communication Sciences, v.18 no.4, 2023년, pp.693 - 700
이재홍 (전남도립대학교 보건의료과)
Sentiment analysis, a branch of natural language processing that classifies and identifies subjective opinions and emotions in text documents as positive or negative, can be used for various promotions and services through customer preference analysis. To this end, recent research has been conducted...
J.-H., Seo, "Image Classification, Deep?Learning, Convolutional Neural Network,?Transfer Learning," J. of The Korea Institute of?Electronic Communication Sciences, vol. 18, no.?3, 2023, pp. 413-420.
J.-M. Jo, "Time Series Data Processing Deep?Learning system for Prediction of Hospital?Outpatient Number," J. of The Korea Institute?of Electronic Communication Sciences, vol. 16?no. 2, 2021, pp. 313-318.
Y.-T. Oh, M.-T. Kim, and W.-J. Kim, "Korean?Movie-review Sentiment Analysis Using?Parallel Stacked Bidirectional LSTM," J. of The?Korean Institute of Information Scientists and?Engineers, vol. 46, no. 1, 2019, pp. 45-49.
C.-G. Lim, I. Aliyu, and R.-M. Mahmood,?"LSTM Hyperparameter Optimization for an?EEG-Based Efficient Emotion Classification in?BCI," J. of The Korea Institute of Electronic?Communication Sciences, vol. 14, no. 6, 2019,?pp. 1171-1180.
J.-W. Min, S.-H. Na, J.-H. Shin, and Y.-K. Kim,?"RoBERTa for Korean Natural Language Processing: Named Entity Recognition,?Sentiment Analysis, Dependency Parsing,"?Proc. of Korea Software Congress 2019, , 2019,?pp. 407-409.
T.-H. Kim, D.-B. Cho, H.-Y. Lee, H.-J. Won,?and S.-S. Kang, "Sentiment Analysis System?by Using BERT Language Model," Proc. of?Annual Conference, Online, Korea, 2020, pp.?975-977.
M.-H. Lee, "Text sentiment analysis using?deep learning and ensemble technique," Proc.?of Korea Computer Congress 2021, Jeju,?Korea, 2021, pp. 451-453.
S.-H. Hwang, "Text sentiment Analysis Based?on Transformer Models using an emotional?dictionary," Proc. of Korea Computer?Congress 2021, Jeju, Korea, 2021, pp. 876-878.
K.-R. Lim and H.-S. Lim, "Comparative?Analysis of Emotional Classification?Performance by Domain between Korean?Natural Language Processing Models," Proc.?of Korea Computer Congress 2022, Jeju,?Korea, 2022, pp. 332-334.
S. Ravichandiran, Getting Started with Google?BERT: Build and train state-of-the-art natural?language processing models using BERT.?Birmingham: Packt Publishing, 2021.
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