Klasifikasi Emosi Manusia Berbasis Teks Menggunakan Pendekatan Model Bahasa Bidirectional Encoder Representations from Transformers (BERT)
Kata Kunci:
Pemebelajaran mendalam, Pemrosesan Bahasa Alami, Klasifikasi Emosi, ISEAR, Transormer, BERTAbstrak
Jurnal ini akan dipublikasikan pada Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK)
Referensi
Makarim, 2023. Emosi Manusia: Pengertian, Jenis, dan Fungsinya. [online] Tersedia di https://www.halodoc.com/artikel/emosi -manusia-pengertian-jenis-danfungsinya [Diakses 11 Agustus 2023]
Solomon, 2023. The variety and complexity of emotions. [online] Tersedia di https://www.britannica.com/science/em otion [Diakses 9 September 2023]
Devlin, J., Chang, M.-W., Lee, K., Google, K. T., & Language, A. I. (2019). BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. https://github.com/tensorflow/tensor2tensor
Shaaban, Y., Korashy, H., & Medhat, W. (2021). Emotion Detection using Deep Learning. Proceedings - 2021 16th International Conference on Computer Engineering and Systems, ICCES 2021. https://doi.org/10.1109/ICCES54031.20 21.9686108
Setiawan, E. I., Kristianto, L., Hermawan, A. T., Santoso, J., Fujisawa, K., & Purnomo, M. H. (2021). Social Media Emotion Analysis in Indonesian Using FineTuning BERT Model. 3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021, 334–337. https://doi.org/10.1109/EIConCIT5002 8.2021.9431885
Alotaibi, F. M. (2019). Classifying Text-Based Emotions Using Logistic Regression. VAWKUM Transactions on Computer Sciences, 7(1), 31–37. https://doi.org/10.21015/vtcs.v16i2.551
Demszky, D., Movshovitz-Attias, D., Ko, J., Cowen, A., Nemade, G., & Ravi, S. (2020). GoEmotions: A Dataset of FineGrained Emotions. http://arxiv.org/abs/2005.00547
Khurana, Diksha & Koli, Aditya & Khatter, Kiran & Singh, Sukhdev. (2022). Natural Language Processing: State of The Art, Current Trends and Challenges. Multimedia Tools and Applications. 82. 10.1007/s11042-022-13428-4.
Kaur, J., Saini, J. R., & Supervisor, R. (2015). A Study of Text Classification Natural Language Processing Algorithms for Indian Languages. https://www.researchgate.net/publicatio n/281965343
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., & Polosukhin, I. (2017). Attention Is All You Need. http://arxiv.org/abs/1706.0376
Makarim, 2023. Emosi Manusia: Pengertian, Jenis, dan Fungsinya. [online] Tersedia di https://www.halodoc.com/artikel/emosi -manusia-pengertian-jenis-danfungsinya [Diakses 11 Agustus 2023]
Solomon, 2023. The variety and complexity of emotions. [online] Tersedia di https://www.britannica.com/science/em otion [Diakses 9 September 2023]
Devlin, J., Chang, M.-W., Lee, K., Google, K. T., & Language, A. I. (2019). BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. https://github.com/tensorflow/tensor2tensor
Shaaban, Y., Korashy, H., & Medhat, W. (2021). Emotion Detection using Deep Learning. Proceedings - 2021 16th International Conference on Computer Engineering and Systems, ICCES 2021. https://doi.org/10.1109/ICCES54031.20 21.9686108
Setiawan, E. I., Kristianto, L., Hermawan, A. T., Santoso, J., Fujisawa, K., & Purnomo, M. H. (2021). Social Media Emotion Analysis in Indonesian Using FineTuning BERT Model. 3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021, 334–337. https://doi.org/10.1109/EIConCIT5002 8.2021.9431885
Alotaibi, F. M. (2019). Classifying Text-Based Emotions Using Logistic Regression. VAWKUM Transactions on Computer Sciences, 7(1), 31–37. https://doi.org/10.21015/vtcs.v16i2.551
Demszky, D., Movshovitz-Attias, D., Ko, J., Cowen, A., Nemade, G., & Ravi, S. (2020). GoEmotions: A Dataset of FineGrained Emotions. http://arxiv.org/abs/2005.00547
Khurana, Diksha & Koli, Aditya & Khatter, Kiran & Singh, Sukhdev. (2022). Natural Language Processing: State of The Art, Current Trends and Challenges. Multimedia Tools and Applications. 82. 10.1007/s11042-022-13428-4.
Kaur, J., Saini, J. R., & Supervisor, R. (2015). A Study of Text Classification Natural Language Processing Algorithms for Indian Languages. https://www.researchgate.net/publicatio n/281965343
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., & Polosukhin, I. (2017). Attention Is All You Need. http://arxiv.org/abs/1706.0376
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