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NTIS 바로가기지능정보연구 = Journal of intelligence and information systems, v.27 no.4, 2021년, pp.1 - 22
전민진 (한양대학교 파이낸스경영학과) , 황지원 (한양대학교 경영학부) , 김종우 (한양대학교 경영대학 경영학부)
Aspect Based Sentiment Analysis (ABSA), which analyzes sentiment based on aspects that appear in the text, is drawing attention because it can be used in various business industries. ABSA is a study that analyzes sentiment by aspects for multiple aspects that a text has. It is being studied in vario...
Ahn, C. a
Azhar, A. N., M. L. Khodra, "Fine-tuning Pretrained Multilingual BERT Model for Indonesian Aspect-based Sentiment Analysis", ArXiv, Vol.1, (2021).
Banerjee, P., K. K. Pal, F. Wang, C. Baral, "Variable Name Recovery in Decompiled Binary Code using Constrained Masked Language Modeling", ArXiv, Vol.1, (2021).
Brun, C., and V. Nikoulina, "Aspect based sentimentanalysis into the wild", WASSA@EMNLP, Vol.1, (2018), 116~122.
Chaybouti, S., A. Saghe, A. Shabou, "MIX : a Multi-task Learning Approach to Solve Open-Domain Question Answering Edit social preview", Arxiv, Vol.2, (2021).
Devlin, J., M. W. Chang, K. Lee, and K. Toutanova, "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding", arXiv, Vol.2, 1810.04805(2018).
He, R.; W. S. Lee, H. T. Ng, and D. Dahlmeier, "An unsupervised neural attention model for aspect extraction", ACL, Vol.1, (2017), 388~397.
Khezrian, N., J. Habibi, I. Annamoradnejad, "Tag Recommendation for Online Q&A Communities based on BERT Pre-Training Technique", ArXiv, Vol.1, (2020).
Kim, Y., "Convolutional Neural Networks for Sentence Classification", EMNLP, Vol.1, (2014), 1746~1751.
Kiritchenko, S., X. Zhu, C. Cherry, and S. Mohammad, "Detecting aspects and sentiment in customer reviews", SemEval@COLING, Vol.1, (2014), 437~442.
LeCun, Y., B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, L. D. Jackel, "Backpropagation Applied to Handwritten Zip Code Recognition", MIT Press, Vol.1, (1989), 541~551.
Lee, J., "Sentiment Analysis based on Korean using Recurrent Neural Network: focused on Online Movie Review", Graduate School of Kookmin University, (2018).
Lee, J., "Sentimental Analysis Research Trends", KIPS, No.25, (2018), 358~361.
Li, X.; L. Bing, P. Li, and W. Lam, "A unified model for opinion target extraction and target sentiment prediction.", AAAI, Vol.1, (2019), 6714~6721.
Ma, Y.; H. Peng, and E. Cambria, "Targeted aspect-based sentiment analysis via embedding commonsense knowledge into an attentive LSTM", AAAI, (2018), 5876~5883.
Moon, H.C, A. Yang, and J.G. Kim, "CNN-Based Hand Gesture Recognition for Wearable Applications", Journal of Broadcast Engineering, (2018), 246~252.
Movahedi, S., E, Ghadery, H. Faili, and A. Shakery, "Aspect Category Detection via Topic-Attention Network", ArXiv, (2019).
Pontiki, M., D. Galanis, H. Papageorgiou, S. Manandhar and I. Androutsopoulos, "Semeval-2015 task 12: Aspect based sentiment analysis", SemEval, Vol.1, (2015), 486~495.
Pontiki, M., D. Galanis, H. Papageorgiou, S. Manandhar and I. Androutsopoulos, S. Manandhar, M. Al-Smadi, M. Al-Ayyoub, Y. Zhao, B. Qin, O. D. Clercq, V. Hoste, M. Apidianaki, N. V. Tannier, X.; Loukachevitch, E. V. Kotelnikov, N. Bel, S. M. J. Zafra and G. Eryigit, "Semeval-2016 task 5: Aspect based sentiment analysis", SemEval, Vol.1, (2016), 19~30.
Raj, D., S.K. Sahu, and A. Anand. "Learning Local and Global Contexts Using a Convolutional Recurrent Network Model for Relation Classification in Biomedical Text", CoNLL, (2017), Vol. 1, 311~321.
Schmitt, M., S. Steinheber, K. Schreiber and B. Roth, "Joint aspect and polarity classification for aspect-based sentiment analysis with end-to-end neural networks", EMNLP, Vol.1(2018), 1109~1114.
Seo, S. and J. Kim, "Sentimental Analysis Research Trends based on Deep Learning", KMMS, Vol.3, No.25 (2016), 8~22.
She, X., D. Zhang, "Text Classification Based on Hybrid CNN-LSTM Hybrid Model", ISCID, (2018), 185~189.
Sun, C., L. Huang, and X. Qiu, "Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence", NAACL-HLT, Vol.1, (2019), 380~385.
Vaswani A., N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. Kaiser and I. Polosukhin, "Attention Is All You Need", arXiv, Vol.5, (2017).
Wan, H., Y. Yang, J. Du, Y. Liu, K. Qi, and J. Z. Pan, "Target-Aspect-Sentiment Joint Detection for Aspect-Based Sentiment Analysis", AAAI, Vol.34, No.5(2020), 9122~9129.
Wang, Y., M. Huang, X. Zhu and L. Zhao, "Attention-based LSTM for aspect-level sentiment classification", EMNLP, Vol.1, (2016), 606~615.
Wyk, G. J. v., and A. S. Bosman, "Evolutionary Neural Architecture Search for Image Restoration", IJCNN, Vol.2, (2019).
Xenos, D., P. Theodorakakos, J. Pavlopoulos, P. Malakasiotis, and I. Androutsopoulos, "Ensembles of Classifiers and Embeddings for Aspect Based Sentiment Analysis", SemEval@NAACL-HLT, Vol.1, (2016), 312~317.
Xue, W. and T. Li, "Aspect based sentiment analysis with gated convolutional networks", ACL, Vol.1, (2018), 2514~2523.
Xue, W., W. Zhou, T. Li and Q. Wang, "A Neural Multi-task Model for Aspect Category Classification And Aspect Term Extraction on RestaurantReviews", IJCNLP, Vol.2, (2017), 151~156.
Yan, H., J. Dai, T. Ji, X. Qiu and Z. Zhang, "A Unified Generative Framework for Aspect-Based Sentiment Analysis", arXiv preprint arXiv:2106.04300, (2021).
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