Abusive Bangla comments detection on Facebook using transformer-based deep learning models

Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books

Zhu, Y., Kiros, R., Zemel, R., Salakhutdinov, R., Urtasun, R., Torralba, A., & Fidler, S. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.11 · Cited by 2,264 · see citing works

How Multilingual is Multilingual BERT?

Pires, T., Schlinger, E., & Garrette, D. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · doi:10.18653/v1/p19-1493 · Cited by 1,351 · see citing works

Abusive Language Detection in Online User Content

Nobata, C., Tetreault, J., Thomas, A. O., Mehdad, Y., & Chang, Y. (2016) · International World Wide Web Conference (WWW) · doi:10.1145/2872427.2883062 · Cited by 1,160 · see citing works

Performance Analysis of Google Colaboratory as a Tool for Accelerating Deep Learning Applications

Carneiro, T., da Nóbrega, R. V. M., Nepomuceno, T., Bian, G., de Albuquerque, V. H. C., & Filho, P. P. R. (2018) · IEEE Access · doi:10.1109/access.2018.2874767 · Cited by 591 · see citing works

One-step and Two-step Classification for Abusive Language Detection on Twitter

Park, J. H., & Fung, P. (2017) · Workshop on Abusive Language Online (ALW) · doi:10.18653/v1/w17-3006 · Cited by 383 · see citing works

Exploiting BERT for End-to-End Aspect-based Sentiment Analysis

Li, X., Bing, L., Zhang, W., & Lam, W. P. (2019) · Workshop on Noisy User-generated Text (W-NUT) · doi:10.18653/v1/d19-5505 · Cited by 383 · see citing works

Adapting BERT for Target-Oriented Multimodal Sentiment Classification

Yu, J., & Jiang, J. (2019) · International Joint Conference on Artificial Intelligence · doi:10.24963/ijcai.2019/751 · Cited by 295 · see citing works

Developing an online hate classifier for multiple social media platforms

Salminen, J. O., Hopf, M., Chowdhury, S. A., Jung, S., Almerekhi, H., & Jansen, B. J. J. (2020) · Human-centric Computing and Information Sciences · doi:10.1186/s13673-019-0205-6 · Cited by 295 · see citing works

A Novel Hybrid Deep Learning Model for Sentiment Classification

Salur, M. U., & Aydın, İ. (2020) · IEEE Access · doi:10.1109/access.2020.2982538 · Cited by 237 · see citing works

Fish Disease Detection Using Image Based Machine Learning Technique in Aquaculture

Ahmed, M. S., Aurpa, T. T., & Azad, M. A. K. (2021) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2021.05.003 · Cited by 228 · see citing works

Cyberbullying detection solutions based on deep learning architectures

Iwendi, C., Srivastava, G., Khan, S., & Maddikunta, P. K. R. (2023) · Multimedia Systems · doi:10.1007/s00530-020-00701-5 · Cited by 205 · see citing works

Light Gradient Boosting Machine for General Sentiment Classification on Short Texts: A Comparative Evaluation

Alzamzami, F., Hoda, M., & Saddik, A. E. (2020) · IEEE Access · doi:10.1109/access.2020.2997330 · Cited by 184 · see citing works

Improving BERT-Based Text Classification With Auxiliary Sentence and Domain Knowledge

Yu, S., Su, J., & Luo, D. (2019) · IEEE Access · doi:10.1109/access.2019.2953990 · Cited by 134 · see citing works

Cyberbullying Detection using Pre-Trained BERT Model

Yadav, J., Kumar, D., & Chauhan, D. (2020) · 2020 International Conference on Electronics and Sustainable Communication Systems (ICESC) · doi:10.1109/icesc48915.2020.9155700 · Cited by 116 · see citing works

A Deep Learning Approach to Detect Abusive Bengali Text

Emon, E. A., Rahman, S., Banarjee, J., Das, A. K., & Mittra, T. (2019) · International Conference on Smart Computing and Communications (ICSCC) · doi:10.1109/icscc.2019.8843606 · Cited by 112 · see citing works

Fine-tuning BERT for Joint Entity and Relation Extraction in Chinese Medical Text

Xue, K., Zhou, Y., Ma, Z., Ruan, T., Zhang, H., & He, P. (2019) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm47256.2019.8983370 · Cited by 106 · see citing works

DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis

Xu, H., Liu, B., Shu, L., & Yu, P. (2020) · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · doi:10.18653/v1/2020.findings-emnlp.156 · Cited by 58 · see citing works

Detecting sentiment dynamics and clusters of Twitter users for trending topics in COVID-19 pandemic

Ahmed, M. S., Aurpa, T. T., & Anwar, M. M. (2021) · PLoS ONE · doi:10.1371/journal.pone.0253300 · Cited by 53 · see citing works

Enhancing Aspect-Based Sentiment Analysis With Capsule Network

Su, J., Yu, S., & Luo, D. (2020) · IEEE Access · doi:10.1109/access.2020.2997675 · Cited by 49 · see citing works

The Evolution of Language Models Applied to Emotion Analysis of Arabic Tweets

Al-Twairesh, N. (2021) · Information · doi:10.3390/info12020084 · Cited by 43 · see citing works

BB-KBQA: BERT-Based Knowledge Base Question Answering

Liu, A., Huang, Z., Lu, H., Wang, X., & Yuan, C. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-32381-3_7 · Cited by 42 · see citing works

Classification of User Comment Using Word2vec and SVM Classifier

Kurnia, R. I. (2020) · International Journal of Advanced Trends in Computer Science and Engineering · doi:10.30534/ijatcse/2020/90912020 · Cited by 36 · see citing works

Banner: A Cost-Sensitive Contextualized Model for Bangla Named Entity Recognition

Ashrafi, I., Mohammad, M., Mauree, A. S., Nijhum, G. M. A., Karim, R., Mohammed, N., & Momen, S. (2020) · IEEE Access · doi:10.1109/access.2020.2982427 · Cited by 33 · see citing works

#MeTooMaastricht: Building a Chatbot to Assist Survivors of Sexual Harassment

Bauer, T., Devrim, E., Glazunov, M., Jaramillo, W. L., Mohan, B., & Spanakis, G. (2020) · Communications in computer and information science · doi:10.1007/978-3-030-43823-4_41 · Cited by 30 · see citing works

Sentiment Classification for Chinese Text Based on Interactive Multitask Learning

Zhang, H., Sun, S., Hu, Y., Liu, J., & Guo, Y. (2020) · IEEE Access · doi:10.1109/access.2020.3007889 · Cited by 29 · see citing works

Detecting Abusive Comments in Discussion Threads Using Naïve Bayes

Awal, M. A., Rahman, M. S., & Rabbi, J. (2018) · International Conference on Innovations in Science, Engineering and Technology (ICISET) · doi:10.1109/iciset.2018.8745565 · Cited by 24 · see citing works

Performance analysis of word embeddings for cyberbullying detection

Pericherla, S., & Ilavarasan, E. (2021) · IOP Conference Series: Materials Science and Engineering · doi:10.1088/1757-899x/1085/1/012008 · Cited by 24 · see citing works

On the effectiveness of small, discriminatively pre-trained language representation models for biomedical text mining

Özyurt, İ. B. (2020) · Workshop on Scholarly Document Processing (SDP) · doi:10.18653/v1/2020.sdp-1.12 · Cited by 18 · see citing works

Online Topical Clusters Detection for Top-k Trending Topics in Twitter

Ahmed, M. S., Aurpa, T. T., & Anwar, M. M. (2020) · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · doi:10.1109/asonam49781.2020.9381305 · Cited by 10 · see citing works

Abusive Comments Classification in Social Media Using Neural Networks

Janardhana, D. R., Shetty, A. B., Hegde, M. N., Kanchan, J., & Hegde, A. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-981-15-5113-0_33 · Cited by 7 · see citing works

Query Oriented Topical Clusters Detection for Top-k Trending Topics in Twitter

Ahmed, M. S., Aurpa, T. T., & Anwar, M. M. (2020) · doi:10.1109/r10-htc49770.2020.9357047 · Cited by 3 · see citing works

Cyberbullying detection for low-resource languages and dialects: Review of the state of the art

Mahmud, T., Ptaszynski, M. E., Eronen, J., & Masui, F. (2023) · Information Processing & Management · doi:10.1016/j.ipm.2023.103454 · Cited by 172 · see citing works

Analyzing Machine Learning Enabled Fake News Detection Techniques for Diversified Datasets

Mishra, S., Shukla, P., & Agarwal, R. (2022) · Wireless Communications and Mobile Computing · doi:10.1155/2022/1575365 · Cited by 122 · see citing works

A Review on Deep-Learning-Based Cyberbullying Detection

Hasan, M. T., Hossain, M. A. E., Mukta, M. S. H., Akter, A., Ahmed, M., & Islam, S. (2023) · Future Internet · doi:10.3390/fi15050179 · Cited by 103 · see citing works

Fake news detection using recurrent neural network based on bidirectional LSTM and GloVe

Abualigah, L., Al-Ajlouni, Y. Y., Daoud, M. S., Altalhi, M. M., & Migdady, H. (2024) · Social Network Analysis and Mining · doi:10.1007/s13278-024-01198-w · Cited by 95 · see citing works

From Data to Discovery: Recent Trends of Machine Learning in Metal–Organic Frameworks

Park, J., Kim, H., Kang, Y., Lim, Y., & Kim, J. (2024) · JACS Au · doi:10.1021/jacsau.4c00618 · Cited by 100 · see citing works

A robust hybrid machine learning model for Bengali cyber bullying detection in social media

Akhter, A., Acharjee, U. K., Talukder, M. A., Islam, M. M., & Uddin, M. A. (2023) · Natural Language Processing Journal · doi:10.1016/j.nlp.2023.100027 · Cited by 92 · see citing works

Automatic Vulgar Word Extraction Method with Application to Vulgar Remark Detection in Chittagonian Dialect of Bangla

Mahmud, T., Ptaszynski, M. E., & Masui, F. (2023) · Applied Sciences · doi:10.3390/app132111875 · Cited by 71 · see citing works

Sentiment Analysis of Twitter Data Using NLP Models: A Comprehensive Review

Albladi, A., Islam, M., & Seals, C. (2025) · IEEE Access · doi:10.1109/access.2025.3541494 · Cited by 89 · see citing works

Hate Speech Detection in Social Networks using Machine Learning and Deep Learning Methods

Toktarova, A., Syrlybay, D., Myrzakhmetova, B., Anuarbekova, G., Rakhimbayeva, G., Zhylanbaeva, B., Suieuova, N., & Kerimbekov, M. (2023) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2023.0140542 · Cited by 53 · see citing works

Hope speech detection in YouTube comments

Chakravarthi, B. R. (2022) · Social Network Analysis and Mining · doi:10.1007/s13278-022-00901-z · Cited by 42 · see citing works

A comprehensive review on automatic hate speech detection in the age of the transformer

Ramos, G., Batista, F., Ribeiro, R., Fialho, P., Moro, S., Fonseca, A. J. F., Guerra, R., Carvalho, P., Marques, C. M. V. A., & Silva, C. (2024) · Social Network Analysis and Mining · doi:10.1007/s13278-024-01361-3 · Cited by 54 · see citing works

Natural Language Processing and Sentiment Analysis on Bangla Social Media Comments on Russia–Ukraine War Using Transformers

Hasan, M., Islam, L., Jahan, I., Meem, S. M., & Rahman, R. M. (2023) · Vietnam Journal of Computer Science · doi:10.1142/s2196888823500021 · Cited by 40 · see citing works

Vulgar Remarks Detection in Chittagonian Dialect of BanglaPreprint

Mahmud, T., Ptaszynski, M. E., & Masui, F. (2024) · Research Square · doi:10.21203/rs.3.rs-4634053/v1 · Cited by 35 · see citing works

Textual variations in social media text processing applications: challenges, solutions, and trends

Khan, J., Ahmad, K., Jagatheesaperumal, S. K., & Sohn, K.-A. (2025) · Artificial Intelligence Review · doi:10.1007/s10462-024-11071-z · Cited by 39 · see citing works

Cyberbullying-related Hate Speech Detection Using Shallow-to-deep Learning

Sultan, D., Toktarova, A., Zhumadillayeva, А., Aldeshov, S., Mussiraliyeva, S., Beissenova, G., Tursynbayev, A., Baenova, G., & Imanbayeva, A. (2022) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2023.032993 · Cited by 33 · see citing works

Towards better representation learning using hybrid deep learning model for fake news detection

Kausar, N., AliKhan, A., & Sattar, M. (2022) · Social Network Analysis and Mining · doi:10.1007/s13278-022-00986-6 · Cited by 34 · see citing works

Enhancing drug discovery with AI: Predictive modeling of pharmacokinetics using Graph Neural Networks and ensemble learning

Satheeskumar, R. (2024) · Intelligent Pharmacy · doi:10.1016/j.ipha.2024.11.002 · Cited by 30 · see citing works

Interpretable Multi Labeled Bengali Toxic Comments Classification using Deep Learning

Belal, T. A., Shahariar, G. M., & Kabir, M. H. (2023) · International Conference on Electrical, Computer and Communication Engineering · doi:10.1109/ecce57851.2023.10101588 · Cited by 30 · see citing works

Reading comprehension based question answering system in Bangla language with transformer-based learning

Aurpa, T. T., Rifat, R. K., Ahmed, M. S., Anwar, M. M., & Ali, A. B. M. S. (2022) · Heliyon · doi:10.1016/j.heliyon.2022.e11052 · Cited by 28 · see citing works

Cyberbullying detection of resource constrained language from social media using transformer-based approach

Sihab-Us-Sakib, S., Rahman, M. R., Forhad, M. S. A., & Aziz, M. A. (2024) · Natural Language Processing Journal · doi:10.1016/j.nlp.2024.100104 · Cited by 28 · see citing works

Sentiment analysis on Bangla conversation using machine learning approach

Hassan, M., Shakil, M. S., Moon, N. N., Islam, M. M., Hossain, R. A., Mariam, A., & Nur, F. N. (2022) · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · doi:10.11591/ijece.v12i5.pp5562-5572 · Cited by 28 · see citing works

TABHATE: A Target-based hate speech detection dataset in Hindi

Sharma, D., Singh, V. K., & Gupta, V. (2024) · Social Network Analysis and Mining · doi:10.1007/s13278-024-01355-1 · Cited by 26 · see citing works

Toward News Authenticity: Synthesizing Natural Language Processing and Human Expert Opinion to Evaluate News

Mahmud, M. A. I., Talukder, A. A. T., Sultana, A., Bhuiyan, K. I. A., Rahman, M. S., Pranto, T. H., & Rahman, R. M. (2023) · IEEE Access · doi:10.1109/access.2023.3241483 · Cited by 28 · see citing works

Hate Speech Detection Research in South Asian Languages: A Survey of Tasks, Datasets and Methods

Sharma, D., Nath, T., Gupta, V., & Singh, V. K. (2025) · ACM Transactions on Asian and Low-Resource Language Information Processing · doi:10.1145/3711710 · Cited by 23 · see citing works

Human Language Technologies as a Challenge for Computer Science and Linguistics – 2023

Mabokela, K. R., Schlippe, T., Raborife, M., & Çelik, T. (2023) · doi:10.14746/amup.9788323241775 · Cited by 23 · see citing works

Panini: a transformer-based grammatical error correction method for Bangla

Hossain, N., Bijoy, M. H., Islam, S., & Shatabda, S. (2023) · Neural Computing and Applications · doi:10.1007/s00521-023-09211-7 · Cited by 20 · see citing works

Classification, detection and sentiment analysis using machine learning over next generation communication platforms

Ahmed, J., & Ahmed, M. (2023) · Microprocessors and Microsystems · doi:10.1016/j.micpro.2023.104795 · Cited by 16 · see citing works

Bangla Fake News Detection using Machine Learning, Deep Learning and Transformer Models

Rasel, R. I., Zihad, A. H., Sultana, N., & Hoque, M. M. (2022) · International Conference on Computer and Information Technology (ICCIT) · doi:10.1109/iccit57492.2022.10055592 · Cited by 16 · see citing works

Misogynistic attitude detection in YouTube comments and replies: A high-quality dataset and algorithmic models

Singh, A., Sharma, D., & Singh, V. K. (2024) · Computer Speech & Language · doi:10.1016/j.csl.2024.101682 · Cited by 16 · see citing works

A Methodological Framework for AI-Driven Textual Data Analysis in Digital Media

Cordeiro, D. F., Lopezosa, C., & Guallar, J. (2025) · Future Internet · doi:10.3390/fi17020059 · Cited by 15 · see citing works

Leveraging Transformer Models in the Cyberbullying Text Classification System for the Low-resource Bengali Language

Hoque, M. N., & Seddiqui, M. H. (2023) · International Conference on Computer and Information Technology (ICCIT) · doi:10.1109/iccit60459.2023.10441412 · Cited by 15 · see citing works

Bengali Cyberbullying Detection in Social Media Using Machine Learning Algorithms

Saha, S., Islam, M. S., Alam, M. M., Rahman, M. M., Majumder, M. Z. H., Alam, M. S., & Hossain, M. K. (2023) · International Conference on Sustainable Technologies for Industry 5.0 (STI) · doi:10.1109/sti59863.2023.10464740 · Cited by 14 · see citing works

Analyzing the role of Facebook-based e-portfolio on motivation and performance in English as a second language learning

Chen, Z., & Ramzan, M. (2024) · International Journal of English Language and Literature Studies · doi:10.55493/5019.v13i2.5002 · Cited by 13 · see citing works

Downscaling daily wind speed with Bayesian deep learning for climate monitoring

Gerges, F., Boufadel, M. C., Bou-Zeid, E. R., Nassif, H. H., & Wang, J. T. L. (2023) · International Journal of Data Science and Analytics · doi:10.1007/s41060-023-00397-6 · Cited by 13 · see citing works

UDDIPOK: A reading comprehension based question answering dataset in Bangla language

Aurpa, T. T., Ahmed, M. S., Rifat, R. K., Anwar, M. M., & Ali, A. B. M. S. (2023) · Data in Brief · doi:10.1016/j.dib.2023.108933 · Cited by 13 · see citing works

H-Louvain: Hierarchical Louvain-based community detection in social media data streams

Han, Z.-X., Shi, L., Liu, L., Jiang, L., Tang, W., Chen, X., Yang, J.-Y., Ayorinde, A. O., & Antonopoulos, N. (2024) · Peer-to-Peer Networking and Applications · doi:10.1007/s12083-024-01689-9 · Cited by 12 · see citing works

Recurrent neural network based multiclass cyber bullying classification

Sifath, S., Islam, T., Erfan, M., Dey, S. K., Islam, M., Samsuddoha, M., & Rahman, T. (2024) · Natural Language Processing Journal · doi:10.1016/j.nlp.2024.100111 · Cited by 14 · see citing works

Offensive Language Detection on Social Media using Machine Learning

Abdrakhmanov, R., Kenesbayev, S., Berkimbayev, K., Toikenov, G., Abdrashova, E., Alchinbayeva, O., & Ydyrys, A. (2024) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2024.0150557 · Cited by 11 · see citing works

Multi-feature Transformer for Multiclass Cyberbullying Detection in Bangla

Wahid, Z., & Imran, A. A. (2023) · IFIP advances in information and communication technology · doi:10.1007/978-3-031-34111-3_37 · Cited by 10 · see citing works

COMBATANT@TamilNLP-ACL2022: Fine-grained Categorization of Abusive Comments using Logistic Regression

Hossain, A., Bishal, M. M., Hossain, E., Sharif, O., & Hoque, M. M. (2022) · Workshop on Speech, Vision, and Language Technologies for Dravidian Languages (DravidianLangTech) · doi:10.18653/v1/2022.dravidianlangtech-1.34 · Cited by 8 · see citing works

An Integrated Embedded System Towards Abusive Bengali Speech and Speaker Detection Using NLP and Deep Learning

Ramadan, S. T. Y., Sakib, T., Rahat, M. A., Hossain, M. M., Rahman, R., & Rahman, M. M. (2022) · International Conference on Computer and Information Technology (ICCIT) · doi:10.1109/iccit57492.2022.10054785 · Cited by 8 · see citing works

Bangla Sentiment Analysis On Highly Imbalanced Data Using Hybrid CNN-LSTM & Bangla BERT

Khanam, F., Chakraborty, A., Habib, M. A., & Iqbal, M. S. (2024) · International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) · doi:10.1109/icaeee62219.2024.10561678 · Cited by 8 · see citing works

A multidisciplinary analysis of transparent AI-driven toxicity detection tools for civic engagement platforms

Zangl, M., Loi, I., Zachos, P., Bedek, M. A., Dimogerontakis, E., Nikolaou, C.-E., Albert, D., & Μουστάκας, Κ. (2025) · AI & Society · doi:10.1007/s00146-025-02424-5 · Cited by 8 · see citing works

An efficient approach for data-imbalanced hate speech detection in Arabic social media

Mohamed, M. S., Elzayady, H., Badran, K. M., & Salama, G. I. (2023) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-231151 · Cited by 7 · see citing works

Sentiment Analysis of Google Classroom Application Using Machine Learning Techniques

Shandana, K. T., Aminuddin, A., Saputra, E. H., Abdulloh, F. F., Rahardi, M., & Asaddulloh, B. P. (2023) · International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation (ICAMIMIA) · doi:10.1109/icamimia60881.2023.10427706 · Cited by 7 · see citing works

Sentiment analysis with hotel customer reviews using FNet

Bhowmik, S., Sadik, R., Akanda, W., & Pavel, J. R. (2024) · Bulletin of Electrical Engineering and Informatics · doi:10.11591/eei.v13i2.6301 · Cited by 11 · see citing works

Empowering sentiment analysis in social media: a comprehensive approach to enhance the classification of abusive Tamil comments using transformer models

Subramanian, M., Easwaramoorthy, S. V., Subbarayan, N., & Moorthy, U. (2025) · Journal Of Big Data · doi:10.1186/s40537-025-01268-6 · Cited by 6 · see citing works

Exploring Transformer Ensemble Approach to Classify Cyberbullying Text for the Low-resource Bengali Language

Hoque, M. N., & Seddiqui, M. H. (2024) · International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS) · doi:10.1109/icaccess61735.2024.10499469 · Cited by 6 · see citing works

Adaptive weighted feature fusion for multiscale atrous convolution‐based 1DCNN with dilated LSTM ‐aided fake news detection using regional language text information

Rathinapriya, V., & Kalaivani, J. (2024) · Expert Systems · doi:10.1111/exsy.13665 · Cited by 5 · see citing works

Navigating tenses in Bengali sentences: A stacked ensemble model for enhanced prediction

Ayman, U., Hasan, M. N., Khan, M. N., Saha, C., & Fayejullah, M. (2025) · PLoS ONE · doi:10.1371/journal.pone.0330186 · Cited by 5 · see citing works

A multi-class cyberbullying classification on image and text in code-mixed Bangla-English social media content

Roy, A., Mahmud, T., & Abrar, T. (2025) · Natural Language Processing Journal · doi:10.1016/j.nlp.2025.100191 · Cited by 4 · see citing works

Advancing cyberbullying detection in low-resource languages: a transformer- stacking framework for Bengali

Hoque, M. N., Nath, R. P. D., Chy, A. N., Ghose, D., & Seddiqui, M. (2026) · Frontiers Artif. Intell. · doi:10.3389/frai.2025.1679962 · Cited by 8 · see citing works

Detecting and Understanding Cyberbullying in Bengali: An Explainable AI Approach

Syfullah, M. K., Amin, R., Manirujjaman, M., Hasan, M., Abid, M. R., & Ahmed, S. (2024) · IEEE International Conference on Computing, Applications and Systems (COMPAS) · doi:10.1109/compas60761.2024.10797170 · Cited by 4 · see citing works

Offensive Language Detection on Online Social Networks using Hybrid Deep Learning Architecture

Kazbekova, G., Ismagulova, Z., Kemelbekova, Z., Tileubay, S., Baimurzayev, B., & Bazarbayeva, A. (2023) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2023.0141180 · Cited by 4 · see citing works

Towards Explainable Sarcasm Detection in Low-Resource Language using Bi-LSTM

Muntaha, S., Islam, M. S., & Zakir, N. (2025) · International Conference on Electrical, Computer and Communication Engineering · doi:10.1109/ecce64574.2025.11013391 · Cited by 4 · see citing works

Bangla News Classification Employing Deep Learning

Siam, A. S. M., Hasan, M. M., Talukdar, M. M., Arafat, M. Y., Jobayer, S. H., & Farid, D. M. (2023) · Communications in computer and information science · doi:10.1007/978-981-99-7649-2_12 · Cited by 4 · see citing works

Leveraging Domain-Specific Word Embedding and Hate Concepts in Hate Speech Detection

Wu, X., Wu, H., & He, P. (2024) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn60899.2024.10650500 · Cited by 4 · see citing works

An Innovative Novel Transformer Model and Datasets for Safeguarding Religious Sensitivities in Online Social Platforms

Islam, M. S., Rony, M. A. T., Ahammad, M., Alam, S. M. N., & Rahman, M. S. (2024) · Procedia Computer Science · doi:10.1016/j.procs.2024.03.288 · Cited by 3 · see citing works

A Semi-Supervised Approach for Identifying Cyberbullying Text in Bangla Language

Faruque, A., & Mustafa, H. A. (2024) · International Conference on Electrical Engineering and Information Communication Technology · doi:10.1109/iceeict62016.2024.10534433 · Cited by 3 · see citing works

Deep Learning-Based Downscaling of Temperatures for Monitoring Local Climate Change Using Global Climate Simulation Data

Gerges, F., Boufadel, M. C., Bou-Zeid, E. R., Nassif, H. H., & Wang, J. T. L. (2022) · World Scientific Annual Review of Artificial Intelligence · doi:10.1142/s2811032322500011 · Cited by 3 · see citing works

On finetuning Adapter-based Transformer models for classifying Abusive Social Media Tamil CommentsPreprint

Subramanian, M., Shanmugavadivel, K., Subbarayan, N., Ganesan, A., Deepti, R., Palanikumar, V., & Chakravarthi, B. R. (2023) · Research Square · doi:10.21203/rs.3.rs-2601766/v1 · Cited by 3 · see citing works

Instance Hardness Threshold for Effective Sampling in Bangla Cyberbullying Detection Using Transformer Models

Morshed, M. N., Zaman, M. S. U., & Ahmed, M. (2024) · International Conference on Computer and Information Technology (ICCIT) · doi:10.1109/iccit64611.2024.11021698 · Cited by 2 · see citing works

Bangla Social Media Cyberbullying Detection Using Deep Learning

Rodela, A. T., Nguyen, H.-H., Farid, D. M., & Huda, M. N. (2023) · Communications in computer and information science · doi:10.1007/978-981-99-7649-2_13 · Cited by 2 · see citing works

Medium of education and the politics of distraction in school education in Bangladesh

Roshid, M. M., & Ha, P. L. (2024) · Current Issues in Language Planning · doi:10.1080/14664208.2024.2368381 · Cited by 4 · see citing works

Abuse Detection of Cyberbullying in Tweets Data Using Ensemble DL Model with Advanced Voting Mechanisms

Mahaveerakannan, R., Anitha, C., & S, M. D. M. (2024) · World Conference on Communication & Computing (WCONF) · doi:10.1109/wconf61366.2024.10692193 · Cited by 2 · see citing works

A Comprehensive Review of Machine Learning and Deep Learning Techniques for Cyberbullying Detection

Jazzar, M., & Duridi, T. (2025) · Smart innovation, systems and technologies · doi:10.1007/978-981-96-2182-8_1 · Cited by 3 · see citing works

An Effective Cyberbullying Detection Model for the Malay Language Using Transformer Model in Social Media Platform X

Singh, S., & Othman, S. H. (2025) · International Journal of Innovative Computing · doi:10.11113/ijic.v15n1.520 · Cited by 1 · see citing works

Advancing Web-Based Bilingual Spam Detection System with XLM-RoBERTa: Dataset Creation and Model Fine-Tuning

Istiaq, M., & Tasnim, N. (2025) · Communications in computer and information science · doi:10.1007/978-3-032-11335-1_31 · Cited by 1 · see citing works

From detection to detoxification: Challenges and solutions for fake news and cyberbullying language governance in the era of large language models

Ahmad, W., & Hongsong, C. (2026) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2026.115115 · Cited by 1 · see citing works

Semantics Squad at BLP-2023 Task 2: Sentiment Analysis of Bangla Text with Fine Tuned Transformer Based Models

Dey, K., Hasan, M. A., Tarannum, P., & Palma, F. (2023) · Workshop on Bangla Language Processing (BLP) · doi:10.18653/v1/2023.banglalp-1.41 · Cited by 1 · see citing works

Detection and Recognition of Professional English Texts using One Dimensional Convolutional Neural Network and Bidirectional Gated Recurrent Unit

Wang, Y., & Che, Y. (2024) · International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS) · doi:10.1109/iacis61494.2024.10721946 · Cited by 1 · see citing works

An Efficient Model for Fake News Detection Using Transformer

Akash, A., Singh, A., Chandra, M., Kansal, V., & Prakash, S. (2024) · International Conference on Parallel, Distributed and Grid Computing (PDGC) · doi:10.1109/pdgc64653.2024.10984024 · Cited by 1 · see citing works

Percepciones masculinas sobre el auspicio de marcas en transmisiones de mujeres streamers de videojuegos

Pallarés, C. Z. S., & Dongo, E. Y. (2023) · Dixit · doi:10.22235/d.v37i2.3350 · Cited by 1 · see citing works

Adaptive Weighted Feature Fusion for Multiscale Atrous Convolution based 1DCNN with Dilated LSTM-aided Fake News Detection using RegionalPreprint

Rathinapriya, V., & Kalaivani, J. (2023) · Research Square · doi:10.21203/rs.3.rs-3347469/v1 · Cited by 1 · see citing works

Unlocking Sentiments in Bangla Texts: A Rule-Based Approach for Precise AnalysisPreprint

Manik, M. M. H., Haque, F., Habib, M. A., Islam, M. Z., & Ahmed, T. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4520417

Network bullying detection based on deep learning

Liu, M. (2024) · Journal of Computational Methods in Sciences and Engineering · doi:10.3233/jcm-237088

Designing a Natural Language Processing System to Support Social Science Research

Gone, K. P., & Smit, M. (2023) · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · doi:10.1145/3625007.3627479

A Robust Smart Model for Detecting Hindi Fake News on Social Media Platforms Using Hybrid Deep Learning Approach

Barpha, V. S., & Nair, P. S. (2024) · Proceedings in adaptation, learning and optimization · doi:10.1007/978-3-031-71388-0_12

Deep Learning Approach for Multi-Label Detection of Abusive Bangla Social Media Comments

Sunny, S., Ahmed, D. R., Habib, M. A., Kabir, S. T., Masud, M. A. A., & Mansoor, N. (2024) · doi:10.1109/icict64387.2024.10839705

Stereoscopic Gated Graph Scalable Quantum Capsule Convolutional Neural Networks with Artificial Hummingbird Algorithm for Social Media Content Classification and Community Detection

Elumalai, A., Devi, S. R., Victoria, D. R. S., Jagadeeswaran, A., Mukherjee, A., & Vinoth, K. (2025) · International Conference on Machine Learning and Autonomous Systems (ICMLAS) · doi:10.1109/icmlas64557.2025.10968581

Empirical Analysis of Cyberbullying Detection for Social Networks with Machine Learning Pipeline—A Unified Approach

Habiba, A. M. I., & Aghila, G. (2025) · Springer tracts in human-centered computing · doi:10.1007/978-981-96-1761-6_31

Cyberbullying Detection and Prevention Using Machine Learning

Mrs. Elakia, K. (2025) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2025.71011

Can Large Language Models Effectively Implement Abusive Language Detection Across Domains and Across Languages?

Huang, K., Jia, G., Han, N., Bai, M., & Chen, Z. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-93736-1_13

Cyberbullying Detection in Bangla Facebook Comments Using Pre-trained Transformer Models

Prova, R. K., & Basak, S. (2025) · Lecture notes in networks and systems · doi:10.1007/978-981-96-2721-9_30

Emotion Classification In-Context in Spanish

Thapa, B., & Cofre, G. (2025) · Communications in computer and information science · doi:10.1007/978-3-032-04657-4_10

Vulgar Language Detection Using Web-Scraped X Data: A Machine Learning Approach

Patra, D., Shihab, S., & Banerjee, N. (2025) · Communications in computer and information science · doi:10.1007/978-3-032-09153-6_12

A Transformer-Based BanglaBERT Approach for Detecting Harmful Content in Bengali Social Media Landscape

Mahmud, R., Uddin, A., & Ahmed, F. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-15346-3_1

BanglaPSA: A dataset and its comprehensive study for sentiment analysis in Bangla political discourse

Aman, M., Ahmed, F., & Rahman, H. A. (2025) · International Conference on Algorithms, Computing and Artificial Intelligence (ACAI) · doi:10.1109/acai68217.2025.11406596

ToxiFusion: A Hybrid Semantic–Sequential Neural Architecture for Multi-Label Toxic Comment Classification

Saha, S., Ghosh, S., & Asib, K. M. N. (2025) · International Conference on Computer and Information Technology (ICCIT) · doi:10.1109/iccit68739.2025.11491278

BanEmoHate: Building a Multilevel Dataset for Bangla Text Integrating Emotion and Hate Speech

Rahman, M. M., & Hasan, K. M. A. (2025) · International Conference on Computer and Information Technology (ICCIT) · doi:10.1109/iccit68739.2025.11491807

Cyberbullying Detection on Social Media: Benchmarking Multiple Models

Goyal, S., Sachar, S., Singh, H., Singh, V. K., Swaroop, M., & Gupta, V. K. (2026) · International Conference on Intelligent Technologies (CONIT) · doi:10.1109/conit69683.2026.11621864

Detection of Bangla Hate Comments and Cyberbullying in Social Media Using NLP and Transformer Models

Emon, M. I. H., Iqbal, K. N., Mehedi, M. H. K., Mahbub, M. J. A., & Rasel, A. A. (2022) · Communications in computer and information science · doi:10.1007/978-3-031-12638-3_8 · Cited by 44 · see citing works

Cyberbullying Detection in Bangla Facebook Comments Using Pre-trained Transformer Models

Prova, R. K., & Basak, S. (2025) · Lecture notes in networks and systems · doi:10.1007/978-981-96-2721-9_30

Leveraging NLP Techniques and Explainable AI for Abusive Bangla Comment Detection

Alam, T., Hossen, M. M., Mozumder, M., Ali, M. S., & Rafi, M. (2025) · International Conference on Electrical, Computer and Communication Engineering · doi:10.1109/ecce64574.2025.11013094 · Cited by 1 · see citing works

Abusive Bangla Comment Detection from Social Media Using Machine Learning Approach

Saha, P., Sultana, N., Khan, A. H., & Noman, S. (2022) · Algorithms for intelligent systems · doi:10.1007/978-981-19-1653-3_46 · Cited by 1 · see citing works

Robust Sentiment Classification of Bangla Social Media Texts Using Fine-Tuned LLaMA Models and Voting-Based InferencePreprint

Rahi, A. M., Ismam, N., Fassi, A., Siam, M. F. R., Jaman, S., Islam, M. M., & Qayum, M. A. (2026) · Research Square · doi:10.21203/rs.3.rs-9081873/v1