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Cyberbullying Identification System Based Deep Learning Algorithms
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1 of the 33 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1155/2021/5522574 (notice 2023-02-05).
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dataset doi:10.7910/DVN/WT8VOA (CC BY 4.0).
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1155/2021/5522574openalex-snapshotDevelopment of Integrated Neural Network Model for Identification of Fake Reviews in E-Commerce Using Multidomain Datasets
inferredcites →https://doi.org/10.1155/2022/3840071openalex-snapshotDeveloping an Intelligent System with Deep Learning Algorithms for Sentiment Analysis of E-Commerce Product Reviews
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1145/3785654openalex-snapshotCyberbullying Detection: Exploring Datasets, Technologies, and Approaches on Social Media Platforms
inferred← citeshttps://doi.org/10.1515/dema-2023-0118openalex-snapshotTransformer learning-based neural network algorithms for identification and detection of electronic bullying in social media
inferred← citeshttps://doi.org/10.18280/ria.370413openalex-snapshotEnhancing Cyberbullying Detection on Indonesian Twitter: Leveraging FastText for Feature Expansion and Hybrid Approach Applying CNN and BiLSTM
inferred← citeshttps://doi.org/10.48084/etasr.8314openalex-snapshotQuasi-Reflection Learning Arithmetic Firefly Search Optimization with Deep Learning-based Cyberbullying Detection on Social Networking
inferred← citeshttps://doi.org/10.54392/irjmt26216openalex-snapshotDetection of Cyberbullying in Social Media Streams: Metaheuristic-Tuned Temporal Fusion Network for High- Accuracy Text Interpretation
inferred← citeshttps://doi.org/10.54392/irjmt26315openalex-snapshotAdaptive Deep Linguistic Representation for High-Precision Cyberbullying Detection Using APO-Bi-LSTM with Attention Mechanism
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