1 |
Kim.Jihee, Oh.Jinhee, Kim.Myeungjin, Lim,Yankyu, "A Study on the Method of Creating Realistic Content in Audience-participating Performances using Artificial Intelligence Sentiment Analysis Technology", The Korean Society of Broadcast and Media Engineers, Vol.26, No.5, pp.533-541, 2021. doi: http://doi.org/10.5909/JBE.2021.26.5.533
DOI
|
2 |
Sudharsan Ravichandiran, Getting Started with Google BERT, (H. Jeon, S. Jung, H. Kim, Trans.), Hanbit Media, pp.22-74, 341-344, 2021
|
3 |
Aurelien Geron, Hands-on Machin Learning with Scikit-Learn,Keras, and TensorFlow:Concepts,Tools,and Techniques to Build Intelligent Systems, (H. Park,Trans.), O'reily Media, , pp.598-670, 2020.
|
4 |
Kwang-Hyeon Pak, Seung-Hoon Na, Jong-Hoon Shin, Young-Kil Kim, "BERT for Korean Natural Language Processing: Named Entity Tagging, Sentiment Analysis, Dependency Parsing and Semantic Role Labeling", Korea Computer Congress 2019, Korea, pp.584-586, 2019
|
5 |
Yeonji Jang, Jiseon Choi, Hansaem Kim, "KcBert-based Movie review Corpus Emotion Analysis Using Emotion Vocabulary Dictionary" Journal of KIISE, Vol.49, No.8, pp.608-616, 2022.8. doi: https://doi.org/10.5626/JOK.2022.49.8.608
DOI
|
6 |
Sangah Lee, Hansol Jang, Yunmee Baik, Suzi Park, Hyopil Shin,"A Small-Scale Korean-Specific BERT Language Model", Journal of KIISE, Vol. 47, No. 7, pp. 682-692, 2020. 7. doi: https://doi.org/10.5626/JOK.2020.47.7.682
DOI
|