Conference Paper2024

Empowering Multiclass Classification and Data Augmentation of Arabic News Articles Through Transformer Model

Jahanggir Hossain Setu, Nabarun Halder, Sankar Sikder, Ashraful Islam, Md Zahangir Alam

2024 International Joint Conference on Neural Networks (IJCNN)

IEEE, pp. 1-7

DOI: 10.1109/ijcnn60899.2024.10650716URL

CCDS Authors

Ashraful Islam

Ashraful Islam, PhD

Center DirectorDirector, Human-Computer Interaction Wing

References

  1. 1.Jakubův, Jan, Chvalovský, Karel, Goertzel, Zarathustra, Kaliszyk, Cezary, Olšák, Mirek, Piotrowski, Bartosz, Schulz, Stephan, Suda, Martin, Urban, Josef. (2023). MizAR 60 for Mizar 50. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)[10.4230/lipics.itp.2023.19]
  2. 2.Holter, Ole Magnus, Ell, Basil. (2018). AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)[10.4230/lipics.cosit.2022.18]
  3. 3.T. B. Brown, Gao, Song. (2023). Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)[10.4230/lipics.giscience.2023.43]
  4. 4.Željko Vujović. (2021). Classification Model Evaluation Metrics. International Journal of Advanced Computer Science and Applications, 12(6)[10.14569/ijacsa.2021.0120670]
  5. 5.Abu Bakr Soliman, Kareem Eissa, Samhaa R. El-Beltagy. (2017). AraVec: A set of Arabic Word Embedding Models for use in Arabic NLP. Procedia Computer Science, 117, 256–265[10.1016/j.procs.2017.10.117]
  6. 6.Qian Li, Hao Peng, Jianxin Li, Congying Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He. (2022). A Survey on Text Classification: From Traditional to Deep Learning. ACM Transactions on Intelligent Systems and Technology, 13(2), 1–41[10.1145/3495162]
  7. 7.Muhammad Abdul-Mageed, AbdelRahim Elmadany, El Moatez Billah Nagoudi. (2021). ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic. , 7088–7105[10.18653/v1/2021.acl-long.551]
  8. 8.Tira Nur Fitria. (2021). QuillBot as an online tool: Students’ alternative in paraphrasing and rewriting of English writing. Englisia Journal of language education and humanities, 9(1), 183[10.22373/ej.v9i1.10233]
  9. 9.Imad Zeroual, Dirk Goldhahn, Thomas Eckart, Abdelhak Lakhouaja. (2019). OSIAN: Open Source International Arabic News Corpus - Preparation and Integration into the CLARIN-infrastructure. , 175–182[10.18653/v1/w19-4619]
  10. 10.Samah M. Alzanin, Aqil M. Azmi, Hatim Aboalsamh. (2022). Short text classification for Arabic social media tweets. Journal of King Saud University - Computer and Information Sciences, 34(9), 6595–6604[10.1016/j.jksuci.2022.03.020]
  11. 11.Ibrahim Abu Farha, Walid Magdy. (2021). Benchmarking Transformer-based Language Models for Arabic Sentiment and Sarcasm Detection. Edinburgh Research Explorer, 21–31[link]
  12. 12.Kosisochukwu Judith Madukwe, Xiaoying Gao, Bing Xue. (2022). Token replacement-based data augmentation methods for hate speech detection. World Wide Web, 25(3), 1129–1150[10.1007/s11280-022-01025-2]
  13. 13.Meshrif Alruily, Abdul Manaf Fazal, Ayman Mohamed Mostafa, Mohamed Ezz. (2023). Automated Arabic Long-Tweet Classification Using Transfer Learning with BERT. Applied Sciences, 13(6), 3482[10.3390/app13063482]
  14. 14.Najla Z. Alhazzani, Isra Al-Turaiki, Sarah A. Alkhodair. (2023). Text Classification of Patient Experience Comments in Saudi Dialect Using Deep Learning Techniques. Applied Sciences, 13(18), 10305[10.3390/app131810305]
  15. 15.Wissam Antoun, Fady Baly, Hazem Hajj. (2020). AraBERT: Transformer-based Model for Arabic Language Understanding. arXiv (Cornell University)[10.48550/arxiv.2003.00104]
  16. 16.Ibrahim Abu El-khair. (2016). 1.5 billion words Arabic Corpus. arXiv (Cornell University)[10.48550/arxiv.1611.04033]
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