ARCHIVES

[1] N. Shawkat, J. Simpson and J. Saquer, "Evaluation of Different ML and Text Processing Techniques for Hate Speech Detection," 2022 4th International Conference on Data Intelligence and Security (ICDIS), Shenzhen, China, 2022, pp. 213-219
[2] N. S. Mullah and W. M. N. W. Zainon, "Advances in Machine Learning Algorithms for Hate Speech Detection in Social Media: A
Review," in IEEE Access, vol. 9, pp. 88364-88376, 2021
[3] B. R. Amrutha and K. R. Bindu, "Detecting Hate Speech in Tweets Using Different Deep Neural Network Architectures," 2019
International Conference on Intelligent Computing and Control Systems (ICCS), Madurai, India, 2019, pp. 923-926
[4] G. H. Panchala, V. V. S Sasank, D. R. HarshithaAdidela, P. Yellamma, K. Ashesh and C. Prasad, "Hate Speech & Offensive Language
Detection Using ML &NLP," 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT), Tirunelveli, India,
2022, pp. 1262-1268,
[5] P. K. Roy, A. K. Tripathy, T. K. Das and X. -Z. Gao, "A Framework for Hate Speech Detection Using Deep Convolutional Neural
Network," in IEEE Access, vol. 8, pp. 204951-204962, 2020
[6] Rahul, V. Gupta, V. Sehra and Y. R. Vardhan, "Ensemble Based Hinglish Hate Speech Detection," 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India, 2021, pp. 1800-1806
[7] M. U. S. Khan, A. Abbas, A. Rehman and R. Nawaz, "HateClassify: A Service Framework for Hate Speech Identification on Social
Media," in IEEE Internet Computing, vol. 25, no. 1, pp. 40-49, 1 Jan.-Feb. 2021
[8] Rahul, V. Gupta, V. Sehra and Y. R. Vardhan, "Hindi-English Code Mixed Hate Speech Detection using Character Level Embeddings,"
2021 5th International Conference on Computing Methodologies and Communication (ICCMC), Erode, India, 2021, pp. 1112-1118
[9] U. A. N. Rohmawati, S. W. Sihwi and D. E. Cahyani, "SEMAR: An Interface for Indonesian Hate Speech Detection Using Machine
Learning," 2018 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), Yogyakarta, Indonesia,
2018, pp. 646-651
[10] O. Oriola and E. Kotzé, "Evaluating Machine Learning Techniques for Detecting Offensive and Hate Speech in South African Tweets," in IEEE Access, vol. 8, pp. 21496-21509, 2020
[11] S. A. Kokatnoor and B. Krishnan, "Twitter Hate Speech Detection using Stacked Weighted Ensemble (SWE) Model," 2020 Fifth
International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), Bangalore, India, 2020, pp.87-92
[12] H. Rathpisey and T. B. Adji, "Handling Imbalance Issue in Hate Speech Classification using Sampling-based Methods," 2019 5th
International Conference on Science in Information Technology (ICSITech), Yogyakarta, Indonesia, 2019, pp. 193-198
[13] K. Mnassri, P. Rajapaksha, R. Farahbakhsh and N. Crespi, "BERT-based Ensemble Approaches for Hate Speech Detection,"
GLOBECOM 2022 - 2022 IEEE Global Communications Conference, Rio de Janeiro, Brazil, 2022, pp. 4649-4654
[14] D. R. Beddiar, M. S. Jahan and M. Oussalah, “Data expansion using back translation and paraphrasing for hate speech detection”,
Online Social Networks and Media, vol. 10, pp. 133-141, 23 June 2021.
[15] C. -C. Wang, M. -Y. Day and C. -L. Wu, "Political Hate Speech Detection and Lexicon Building: A Study in Taiwan," in IEEE Access,
vol. 10, pp. 44337-44346, 2022
[16] S. Khan et al., "HCovBi-Caps: Hate Speech Detection Using Convolutional and Bi-Directional Gated Recurrent Unit With Capsule
Network," in IEEE Access, vol. 10, pp. 7881-7894, 2022
[17] Y. Zhou, Y. Yang, H. Liu, X. Liu and N. Savage, "Deep Learning Based Fusion Approach for Hate Speech Detection," in IEEE Access,
vol. 8, pp. 128923-128929, 2020
[18] S. Khan, M. Fazil and A. R. Baig, “BiCHAT: BiLSTM with deep CNN and hierarchical attention for hate speech detection”, Journal of
King Saud University - Computer and Information Sciences, vol. 34, no. 7, pp. 4335-4344, 21 May 2022
[19] Z. Mossie and J.-H. Wang, “Vulnerable community identification using hate speech detection on social media”, Information Processing & Management, vol. 7, no. 4, pp. 170003-170011, 23 July 2019
[20] G. d. Valle-Cano, L. Quijano-Sánchez and J. Gómez, “SocialHaterBERT: A dichotomous approach for automatically detecting hate
speech on Twitter through textual analysis and user profiles”, Expert Systems with Applications, vol. 207, no. 12, pp. 769-778, 20 December 2022
[21] I. Z. Muhammad, M. Nasrun and C. Setianingsih, "Hate Speech Detection using Global Vector and Deep Belief Network Algorithm,"
2020 1st International Conference on Big Data Analytics and Practices (IBDAP), Bangkok, Thailand, 2020, pp. 1-6
[22] Rahul, V. Gupta, V. Sehra and Y. R. Vardhan, "Hindi-English Code Mixed Hate Speech Detection using Character Level Embeddings,"2021 5th International Conference on Computing Methodologies and Communication (ICCMC), Erode, India, 2021, pp. 1112-1118
[23] J. Melton, A. Bagavathi and S. Krishnan, "DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection," 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA), Miami, FL, USA, 2020, pp. 1015-1022