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An Ensemble-Based Multi-Classification Machine Learning Classifiers Approach to Detect Multiple Classes of Cyberbullying

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s10639-014-9349-1openalex-snapshot

Adolescents and Cyber Bullying: The Precaution Adoption Process Model

inferredcites →https://doi.org/10.1007/s13278-022-00934-4openalex-snapshot

Performance analysis of transformer-based architectures and their ensembles to detect trait-based cyberbullying

inferredcites →https://doi.org/10.1007/s42979-021-00592-xopenalex-snapshot

Machine Learning: Algorithms, Real-World Applications and Research Directions

inferredcites →https://doi.org/10.1016/j.inffus.2004.04.008openalex-snapshot

Classifier selection for majority voting

inferredcites →https://doi.org/10.1016/s0306-4573(02)00021-3openalex-snapshot

An information-theoretic perspective of tf–idf measures

inferredcites →https://doi.org/10.1088/1742-6596/2171/1/012021openalex-snapshot

Research of Text Classification Based on TF-IDF and CNN-LSTM

inferredcites →https://doi.org/10.1109/access.2021.3101977openalex-snapshot

Un-Compromised Credibility: Social Media Based Multi-Class Hate Speech Classification for Text

inferredcites →https://doi.org/10.1109/bigdata50022.2020.9378065openalex-snapshot

SOSNet: A Graph Convolutional Network Approach to Fine-Grained Cyberbullying Detection

inferredcites →https://doi.org/10.1109/gcaiot57150.2022.10019058openalex-snapshot

A Deep Analysis of Textual Features Based Cyberbullying Detection Using Machine Learning

inferredcites →https://doi.org/10.1109/hicss.2010.412openalex-snapshot

Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter

inferredcites →https://doi.org/10.1109/icaica50127.2020.9182555openalex-snapshot

The Text Classification of Theft Crime Based on TF-IDF and XGBoost Model

inferredcites →https://doi.org/10.1109/icicv50876.2021.9388499openalex-snapshot

Cyberbullying Detection: An Ensemble Based Machine Learning Approach

inferredcites →https://doi.org/10.1109/ickg55886.2022.00042openalex-snapshot

Transfer Naïve Bayes Learning using Augmentation and Stacking for SMS Spam Detection

inferredcites →https://doi.org/10.1137/1.9781611975673.27openalex-snapshot

Hierarchical Attention Networks for Cyberbullying Detection on the Instagram Social Network

inferredcites →https://doi.org/10.1145/2872427.2883062openalex-snapshot

Abusive Language Detection in Online User Content

inferredcites →https://doi.org/10.1145/3232116.3232152openalex-snapshot

An Improved TF-IDF algorithm based on word frequency distribution information and category distribution information

inferredcites →https://doi.org/10.1145/3366424.3383552openalex-snapshot

EasyAug: An Automatic Textual Data Augmentation Platform for Classification Tasks

inferredcites →https://doi.org/10.1145/3372422.3373592openalex-snapshot

Cyberbullying Detection Using Deep Learning and Word Embeddings

inferredcites →https://doi.org/10.1371/journal.pone.0245909openalex-snapshot

A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis

inferredcites →https://doi.org/10.14569/ijacsa.2019.0100587openalex-snapshot

Social Media Cyberbullying Detection using Machine Learning

inferredcites →https://doi.org/10.14569/ijacsa.2019.0100871openalex-snapshot

An Automated Approach for Identification of Non-Functional Requirements using Word2Vec Model

inferredcites →https://doi.org/10.22215/etd/2022-15070openalex-snapshot

Cyberbullying Detection using Ensemble Method

inferredcites →https://doi.org/10.3390/a16020088openalex-snapshot

Effective Heart Disease Prediction Using Machine Learning Techniques

inferredcites →https://doi.org/10.3390/fi12110187openalex-snapshot

A Comparative Analysis of Machine Learning Techniques for Cyberbullying Detection on Twitter

inferredcites →https://doi.org/10.3390/fi15050179openalex-snapshot

A Review on Deep-Learning-Based Cyberbullying Detection

inferredcites →https://doi.org/10.3390/info10040150openalex-snapshot

Text Classification Algorithms: A Survey

inferredcites →https://doi.org/10.3390/make5010003openalex-snapshot

Detecting Arabic Cyberbullying Tweets Using Machine Learning

inferredcites →https://doi.org/10.3390/s22239195openalex-snapshot

Classification of Normal and Malicious Traffic Based on an Ensemble of Machine Learning for a Vehicle CAN-Network

inferredcites →https://doi.org/10.3390/s23125568openalex-snapshot

Ensemble-Learning Framework for Intrusion Detection to Enhance Internet of Things’ Devices Security

inferredcites →https://doi.org/10.3390/su14084723openalex-snapshot

Climate Change Sentiment Analysis Using Lexicon, Machine Learning and Hybrid Approaches

inferredcites →https://doi.org/10.47654/v26y2022i1p1-30openalex-snapshot

Predictive Analytics in Business Analytics: Decision Tree

inferredcites →https://doi.org/10.7717/peerj-cs.914openalex-snapshot

Classification of movie reviews using term frequency-inverse document frequency and optimized machine learning algorithms

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Safeguarding Cyberspace: A Hybrid Machinelearning and Blockchain Solution for Code-Mixedcyberbullying Detection

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Optimizing XGBoost for Cyberbullying Detection Using Word2Vec and Modified Reptile Search Algorithm

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Cyberbullying Identification on Multi-class English Dataset Using Ensemble Learning

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An ideal deeply contextual prediction model for an effective prediction and mitigation of cyberbullying in social networks

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Technological transitions in artificial intelligence-driven cyberbullying mitigation on social media: a systematic review

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An NLP-Based Real-Time Cyberbullying Detection Model for Pre-Teens With Advanced Slang and Emoji Processing

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inferred← citeshttps://doi.org/10.1109/icimtech202671078.2026.11699022openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/icitisee68184.2025.11355025openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/icoabcd67551.2025.11470717openalex-snapshot

Machine Learning Approach for Identifying Cyberbullying in Social Media

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Improved Classification of Cyber-Bullying Tweets in Social Media Using SVM-MaxEnt Based Dynamic Programming Based Self Organizing Maps

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CBDC-Net: Recurrent Bidirectional LSTM Neural Networks Based Cyberbullying Detection with Synonym-Level N-Gram and TSR-SCSOFeatures

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Enhancing Multi-Class Cyberbullying Classification with Hybrid Feature Extraction and Transformer-Based Models

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

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Advancing multi-class classification: innovations, challenges, and ethical perspectives in machine learning

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