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Detecting Arabic Cyberbullying Tweets Using Machine Learning
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Association of Online Risk Factors With Subsequent Youth Suicide-Related Behaviors in the US
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Reinforcement and Systemic Machine Learning for Decision Making
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Arabic Offensive Language Classification on Twitter
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Towards Accurate Detection of Offensive Language in Online Communication in Arabic
inferredcites →https://doi.org/10.1109/aiccsa47632.2019.9035276openalex-snapshot
Detection of Arabic Cyberbullying on Social Networks using Machine Learning
inferredcites →https://doi.org/10.1109/comapp.2017.8079791openalex-snapshot
The challenge of cyberbullying and its automatic detection in Arabic text
inferredcites →https://doi.org/10.1109/csnet.2017.8242005openalex-snapshot
Multilingual cyberbullying detection system: Detecting cyberbullying in Arabic content
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Detecting A Twitter Cyberbullying Using Machine Learning
inferredcites →https://doi.org/10.1109/icicv50876.2021.9388499openalex-snapshot
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inferredcites →https://doi.org/10.1109/ithings/greencom/cpscom/smartdata.2019.00074openalex-snapshot
Arabic Cyberbullying Detection: Enhancing Performance by Using Ensemble Machine Learning
inferredcites →https://doi.org/10.1109/ncg.2018.8593146openalex-snapshot
Optimized Twitter Cyberbullying Detection based on Deep Learning
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Challenges in Arabic Natural Language Processing
inferredcites →https://doi.org/10.1186/s40537-022-00625-zopenalex-snapshot
AraXLNet: pre-trained language model for sentiment analysis of Arabic
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Farasa: A Fast and Furious Segmenter for Arabic
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How the Middle East used Social Media in 2020
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CYBERBULLYING REVELATION IN TWITTER DATA USING NAÏVE BAYES CLASSIFIER ALGORITHM
inferredcites →https://doi.org/10.3390/fi12110187openalex-snapshot
A Comparative Analysis of Machine Learning Techniques for Cyberbullying Detection on Twitter
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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