Classification of Imbalanced Offensive Dataset – Sentence Generation for Minority Class with LSTM-Reference-Cited by-同舟云学术

Classification of Imbalanced Offensive Dataset – Sentence Generation for Minority Class with LSTM

Published:2022-04-18 Issue: Volume: Page:
ISSN:2636-8129
Container-title:Sakarya University Journal of Computer and Information Sciences
language:
Short-container-title:

Author:

EKİNCİ Ekin

Publisher

Sakarya University Journal of Computer and Information Sciences

Reference61 articles.

1. S. Rosenthal, P. Atanasova, G. Karadzhov, M. Zampieri, and P. Nakov, "OLID: A Large-Scale Semi-Supervised Dataset for Offensive Language Identification," arXiv preprint arXiv:2004.14454, 2020.

2. G. Wiedemann, E. Ruppert, R. Jindal and C. Biemann, "Transfer Learning from LDA to BiLSTM-CNN for Offensive Language Detection in Twitter," arXiv preprint arXiv:1811.02906v1, 2018.

3. H. Mubarak and K. Darwish K., "Arabic Offensive Language Classification on Twitter," Lecture Notes in Computer Science. Springer, Cham, 2019.

4. E. Ekinci, S. İlhan Omurca and S. Sevim, "Improve Offensive Language Detection with Ensemble Classifiers," IJISAE, vol. 8, no. 2, pp. 109–115, 2020.

5. M. Djandji, F. Baly, W. Antoun and H. Hajj, "Multi-Task Learning using AraBert for Offensive Language Detection," Proc. - 4th Workshop on Open-Source Arabic Corpora and Processing Tools, with a Shared Task on Offensive Language Detection, pp. 97–101, 2020.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Self Adaptive Methods for Learning Rate Parameter of Q-Learning Algorithm;Journal of Intelligent Systems: Theory and Applications;2023-09-23

2. Offensive Language Detection from Turkish Tweets with Deep and Shallow Machine Learning Methods;Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi;2023-06-29