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Exhaustive Study into Machine Learning and Deep Learning Methods for Multilingual Cyberbullying Detection in Bangla and Chittagonian Texts

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What this work says

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

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inferredcites →https://doi.org/10.1016/j.ipm.2020.102290openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.ipm.2021.102616openalex-snapshot
Improving classifier training efficiency for automatic cyberbullying detection with Feature Density
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Transfer language selection for zero-shot cross-lingual abusive language detection
inferredcites →https://doi.org/10.1016/j.ipm.2023.103454openalex-snapshot
Cyberbullying detection for low-resource languages and dialects: Review of the state of the art
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The United Nations Development Programme
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Multilingual cyberbullying detection system: Detecting cyberbullying in Arabic content
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Bangla Document Categorisation using Multilayer Dense Neural Network with TF-IDF
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A Multilingual Framework of CNN and Bi-LSTM for Emotion Classification
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inferredcites →https://doi.org/10.1109/ited56637.2022.10051345openalex-snapshot
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inferredcites →https://doi.org/10.1109/sti50764.2020.9350394openalex-snapshot
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inferredcites →https://doi.org/10.1109/t-affc.2010.3openalex-snapshot
CAO: A Fully Automatic Emoticon Analysis System Based on Theory of Kinesics
inferredcites →https://doi.org/10.1109/tencon.2019.8929493openalex-snapshot
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inferredcites →https://doi.org/10.1145/3457610openalex-snapshot
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inferredcites →https://doi.org/10.1177/001316446002000104openalex-snapshot
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inferredcites →https://doi.org/10.1177/17470161221087542openalex-snapshot
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inferredcites →https://doi.org/10.14569/ijacsa.2021.0120670openalex-snapshot
Classification Model Evaluation Metrics
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.240openalex-snapshot
Extending Multilingual BERT to Low-Resource Languages
inferredcites →https://doi.org/10.18653/v1/2021.calcs-1.16openalex-snapshot
Abusive content detection in transliterated Bengali-English social media corpus
inferredcites →https://doi.org/10.18653/v1/w16-5806openalex-snapshot
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inferredcites →https://doi.org/10.3115/1067807.1067848openalex-snapshot
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inferredcites →https://doi.org/10.32604/csse.2023.027841openalex-snapshot
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inferredcites →https://doi.org/10.3390/app132111875openalex-snapshot
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inferredcites →https://doi.org/10.3390/diagnostics14030345openalex-snapshot
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inferredcites →https://doi.org/10.3390/e22020252openalex-snapshot
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inferredcites →https://doi.org/10.3390/su11154250openalex-snapshot
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inferredcites →https://doi.org/10.36227/techrxiv.170629868.84167256/v1openalex-snapshot
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inferredcites →https://doi.org/10.48550/arxiv.2203.02116openalex-snapshot
In the Service of Online Order: Tackling Cyber-Bullying with Machine Learning and Affect Analysis

What points at this work

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

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inferred← citeshttps://doi.org/10.1109/compas60761.2024.10796759openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/compas60761.2024.10797170openalex-snapshot
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