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A Multichannel Deep Learning Framework for Cyberbullying Detection on Social Media

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-79457-6_34openalex-snapshot
Analysis of Sentimental Behaviour over Social Data Using Machine Learning Algorithms
inferredcites →https://doi.org/10.1007/978-3-319-76941-7_11openalex-snapshot
Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms
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Cooperative fuzzy controllers for autonomous voltage regulation in Smart Grids
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inferredcites →https://doi.org/10.1007/s12652-020-02771-9openalex-snapshot
Sentimental analysis over twitter data using clustering based machine learning algorithm
inferredcites →https://doi.org/10.1016/j.avb.2019.101343openalex-snapshot
Cyberbullying: Concepts, theories, and correlates informing evidence-based best practices for prevention
inferredcites →https://doi.org/10.1016/j.chb.2016.05.051openalex-snapshot
Cybercrime detection in online communications: The experimental case of cyberbullying detection in the Twitter network
inferredcites →https://doi.org/10.1016/j.chb.2018.12.021openalex-snapshot
Automatic cyberbullying detection: A systematic review
inferredcites →https://doi.org/10.1016/j.cose.2019.101710openalex-snapshot
Improving cyberbullying detection using Twitter users’ psychological features and machine learning
inferredcites →https://doi.org/10.1016/j.eswa.2020.114120openalex-snapshot
Comparing pre-trained language models for Spanish hate speech detection
inferredcites →https://doi.org/10.1016/j.future.2020.07.050openalex-snapshot
Aggression detection through deep neural model on Twitter
inferredcites →https://doi.org/10.1016/j.isatra.2020.07.011openalex-snapshot
Bidirectional deep recurrent neural networks for process fault classification
inferredcites →https://doi.org/10.1016/j.paid.2019.01.024openalex-snapshot
Cyberbullying detection on twitter using Big Five and Dark Triad features
inferredcites →https://doi.org/10.1109/cybersa49311.2020.9139711openalex-snapshot
Self-Attention for Cyberbullying Detection
inferredcites →https://doi.org/10.1109/mci.2018.2840738openalex-snapshot
Recent Trends in Deep Learning Based Natural Language Processing [Review Article]
inferredcites →https://doi.org/10.1109/mic.2020.3032461openalex-snapshot
Cyberbullying Detection With Fairness Constraints
inferredcites →https://doi.org/10.1109/mic.2020.3032930openalex-snapshot
Session-Based Cyberbullying Detection: Problems and Challenges
inferredcites →https://doi.org/10.1109/mic.2020.3033161openalex-snapshot
Towards Hate Speech Detection at Large via Deep Generative Modeling
inferredcites →https://doi.org/10.1109/mic.2020.3037034openalex-snapshot
HateClassify: A Service Framework for Hate Speech Identification on Social Media
inferredcites →https://doi.org/10.1145/3091478.3091487openalex-snapshot
Mean Birds
inferredcites →https://doi.org/10.1145/3343484openalex-snapshot
Detecting Cyberbullying and Cyberaggression in Social Media
inferredcites →https://doi.org/10.1609/icwsm.v11i1.14955openalex-snapshot
Automated Hate Speech Detection and the Problem of Offensive Language
inferredcites →https://doi.org/10.18653/v1/n16-2013openalex-snapshot
Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter
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Using Convolutional Neural Networks to Classify Hate-Speech
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Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
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On the Properties of Neural Machine Translation: Encoder–Decoder Approaches
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Avoidance of Cybersecurity Threats with the Deployment of a Web-Based Blockchain-Enabled Cybersecurity Awareness System
inferredcites →https://doi.org/10.3390/electronics10212664openalex-snapshot
A Multichannel Deep Learning Framework for Cyberbullying Detection on Social Media
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-snapshot
Scikit-learn: Machine Learning in Python

What points at this work

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

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A Review of Deep Learning Models for Detecting Cyberbullying on Social Media Networks
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A Novel Multimodal Hybrid Classifier Based Cyberbullying Detection for Social Media Platform
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Cyberbullying Detection Using BiLSTM Model
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An Ensemble Learning Model for Automatic Detection of Cyberbullying on Instagram Platform
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Cyberbullying Text Classification Using Neural Networks, Generative Models, and Graph Analysis
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Personalized Tool for the Detection and Prevention of Cyberbullying
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Hybrid Deep Learning Model and Natural Language Processing for Cyberbullying Detection/Online Safety
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A Comprehensive Review of Machine Learning and Deep Learning Techniques for Cyberbullying Detection
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Cyber Analyzer—A Machine Learning Approach for the Detection of Cyberbullying—A Survey
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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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Can Machine Learning Really Detect Cyberbullying?
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A Survey of Cyberbullying Detection and Performance: Its Impact in Social Media Using Artificial Intelligence
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Technological transitions in artificial intelligence-driven cyberbullying mitigation on social media: a systematic review
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Deep learning models for culturally aware cyberbullying detection in Muslim societies: a systematic review
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Automatic detection of cyberbullying behaviour on social media using Stacked Bi-Gru attention with BERT model
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Cyberbullying Detection System on Social Media Using Supervised Machine Learning
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Analysis and Experimental Comparison of State-Of-The-Art Deep-Learning Classification Techniques for Cyberbullying Detection
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“Amusing ourselves to death”: Mechanisms in cyberbullying prompted by rumors and denigration amidst the COVID-19 pandemic in China
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Ensemble Learning With Tournament Selected Glowworm Swarm Optimization Algorithm for Cyberbullying Detection on Social Media
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Deep Learning Algorithms for Cyber-Bulling Detection in Social Media Platforms
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Toward Multi-Modal Approach for Identification and Detection of Cyberbullying in Social Networks
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Deep Learning Approach for Classifying the Aggressive Comments on Social Media: Machine Translated Data Vs Real Life Data
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Cyberbullying Detection: A Comparative Evaluation of Learning Models on a Unified Public Dataset
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