Academic literature on the topic 'Sentinel token'
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Journal articles on the topic "Sentinel token"
Chun Fai Chu, Carlin, Raymond So, Ernest Kan Lam Kwong, and Andy Chan. "Multiword target-independent transformer-based model for financial sentiment analysis in colloquial Cantonese." Bulletin of Electrical Engineering and Informatics 14, no. 3 (2025): 2107–19. https://doi.org/10.11591/eei.v14i3.8963.
Full textMr., Rupak Kumar Gogoi, Abinash Borah Mr., and Chandrani Borah Ms. "Front End to Back End- Compiler Design." International Journal of Computer Science and Information Technology Research 10, no. 2 (2022): 97–106. https://doi.org/10.5281/zenodo.6735151.
Full textSyafrizal, Syafrizal, M. Afdal, and Rice Novita. "Analisis Sentimen Ulasan Aplikasi PLN Mobile Menggunakan Algoritma Naïve Bayes Classifier dan K-Nearest Neighbor." MALCOM: Indonesian Journal of Machine Learning and Computer Science 4, no. 1 (2023): 10–19. http://dx.doi.org/10.57152/malcom.v4i1.983.
Full textNugraha, Kristian Adi. "Pembentukan Dataset Token Sentimen Berdasarkan Akun Instagram Brand Elektronik Menggunakan K-Nearest Neighbors." Jurnal Buana Informatika 12, no. 1 (2021): 68. http://dx.doi.org/10.24002/jbi.v12i1.4472.
Full textHapsari, Yashmine, Syamsul Mujahidin, and Nisa Fadhliana. "Analisis Sentimen Isu Vaksinasi Covid-19 pada Twitter dengan Metode Naive Bayes dan Pembobotan TF-IDF Tokenisasi 1-2 Gram." SPECTA Journal of Technology 7, no. 2 (2023): 573–83. http://dx.doi.org/10.35718/specta.v7i2.812.
Full textWulandari, Dewa Ayu Putri, Made Sudarma, and Nyoman Paramaita. "Pemanfaatan Big Data Media Sosial Dalam Menganalisa Kemenangan Pilkada." Majalah Ilmiah Teknologi Elektro 18, no. 1 (2019): 101. http://dx.doi.org/10.24843/mite.2019.v18i01.p15.
Full textSaid, Muhammad Aly, Rizal Pratama Putra, and Ridhani Anggit Safitri. "Analisis Sentimen Percakapan Twitter Terhadap Matematika Menjelang Penilaian Akhir Semester." Emerging Statistics and Data Science Journal 3, no. 2 (2025): 573–82. https://doi.org/10.20885/esds.vol3.iss.2.art12.
Full textNurrahman, Adikara Alif, Muhammad Mauladi, and Abdul Rahman. "Analisis Sentimen Masyarakat terhadap Kenaikan Harga Bahan Bakar Minyak Menggunakan Support Vector Machine dan SMOTE." sudo Jurnal Teknik Informatika 4, no. 2 (2025): 50–56. https://doi.org/10.56211/sudo.v4i2.908.
Full textRamadani, Nevita Cahaya, Imam Tahyudin, and Azhari Shouni Barkah. "Perbandingan Algoritma Support Vector Machine, Decision Tree, dan Logistic Regresion Pada Analisis Sentimen Ulasan Aplikasi Netflix." Jurnal Nasional Teknologi dan Sistem Informasi 10, no. 2 (2024): 110–17. http://dx.doi.org/10.25077/teknosi.v10i2.2024.110-117.
Full textHalim, Abdul, and Andri Safuwan. "ANALISIS SENTIMEN OPINI WARGANET TWITTER TERHADAP TES SCREENING GENOSE PENDETEKSI VIRUS COVID-19 MENGGUNAKAN METODE NAÏVE BAYES BERBASIS PARTICLE SWARM OPTIMIZATION." Jurnal Informatika Teknologi dan Sains 5, no. 1 (2023): 170–78. http://dx.doi.org/10.51401/jinteks.v5i1.2229.
Full textBook chapters on the topic "Sentinel token"
von Bar, Christian, and Jason Grant Allen. "Real Things." In Foundations of Property Law. Oxford University PressOxford, 2023. http://dx.doi.org/10.1093/oso/9780198885337.003.0006.
Full textConference papers on the topic "Sentinel token"
Luo, Weiyao, Suncong Zheng, Heming Xia, et al. "Taking a Deep Breath: Enhancing Language Modeling of Large Language Models with Sentinel Tokens." In Findings of the Association for Computational Linguistics: EMNLP 2024. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.findings-emnlp.233.
Full textRen, Siyu, Qi Jia, and Kenny Zhu. "Context Compression for Auto-regressive Transformers with Sentinel Tokens." In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2023. http://dx.doi.org/10.18653/v1/2023.emnlp-main.794.
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