Matches in SemOpenAlex for { <https://semopenalex.org/work/W4384697979> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W4384697979 abstract "ICT is widely adopted by Asian youth and is utilized by people of all ages across the continent. Despite its many advantages, unethical ICT usage can lead to many complications. A harmful application of ICT for social communication and engagement is cyberbullying. Simply adhering to the generally accepted norms and guidelines for cybersecurity will not protect you from cybercrime. Even well-known social media stages like Twitter are safe from this attack. Natural language processing (NLP) research on cyberbullying detection has become popular recently. Even though old-style NLP procedures have become highly cyberbullying, there are still hurdles to overcome. These include the limited character count allowed by social media platforms, an imbalance among comments, ambiguity, and unnecessary use of slang. Models based on (CNNs), Multilayer Perceptrons (MLPs), and (RNNs), have recently shown encouraging results in a variety of NLP tasks. With this motivation, this research develops an African vulture optimization algorithm with a graph neural network-based cyberbullying detection and classification (AVOAGNN-CBDC) model. The proposed AVOAGNN-CBDC technique mainly intends to detect and classify cyberbullying. The AVOAGNN-CBDC technique undergoes data preprocessing in different stages and a FastText-based word embedding process to achieve this. Besides, the AVOAGNN-CBDC technique employs the GNN model for cyberbullying detection and classification. Finally, the AVOA is used for the optimal parameter selection of the GNN model, which helps achieve improved classification performance. The experimental result investigation of the AVOAGNN-CBDC technique is tested on the cyberbullying dataset, and the outcomes highlighted the supremacy of the AVOAGNN-CBDC technique in terms of several measures." @default.
- W4384697979 created "2023-07-20" @default.
- W4384697979 creator A5005082223 @default.
- W4384697979 creator A5008025439 @default.
- W4384697979 creator A5015492641 @default.
- W4384697979 creator A5034896032 @default.
- W4384697979 creator A5041761709 @default.
- W4384697979 creator A5059212170 @default.
- W4384697979 creator A5092063009 @default.
- W4384697979 date "2023-07-18" @default.
- W4384697979 modified "2023-09-30" @default.
- W4384697979 title "Evolutionary Algorithm with Graph Neural Network Driven Cyberbullying Detection on Low Resource Asian Languages" @default.
- W4384697979 cites W3042925453 @default.
- W4384697979 cites W3126184898 @default.
- W4384697979 cites W3146521653 @default.
- W4384697979 cites W3155816843 @default.
- W4384697979 cites W3158586872 @default.
- W4384697979 cites W3181048959 @default.
- W4384697979 cites W3186804201 @default.
- W4384697979 cites W4205382263 @default.
- W4384697979 cites W4213430631 @default.
- W4384697979 cites W4221145430 @default.
- W4384697979 cites W4283321753 @default.
- W4384697979 cites W4293201632 @default.
- W4384697979 cites W4313569896 @default.
- W4384697979 cites W4367322519 @default.
- W4384697979 doi "https://doi.org/10.1145/3609799" @default.
- W4384697979 hasPublicationYear "2023" @default.
- W4384697979 type Work @default.
- W4384697979 citedByCount "0" @default.
- W4384697979 crossrefType "journal-article" @default.
- W4384697979 hasAuthorship W4384697979A5005082223 @default.
- W4384697979 hasAuthorship W4384697979A5008025439 @default.
- W4384697979 hasAuthorship W4384697979A5015492641 @default.
- W4384697979 hasAuthorship W4384697979A5034896032 @default.
- W4384697979 hasAuthorship W4384697979A5041761709 @default.
- W4384697979 hasAuthorship W4384697979A5059212170 @default.
- W4384697979 hasAuthorship W4384697979A5092063009 @default.
- W4384697979 hasBestOaLocation W43846979791 @default.
- W4384697979 hasConcept C119857082 @default.
- W4384697979 hasConcept C132525143 @default.
- W4384697979 hasConcept C136764020 @default.
- W4384697979 hasConcept C138885662 @default.
- W4384697979 hasConcept C154945302 @default.
- W4384697979 hasConcept C199360897 @default.
- W4384697979 hasConcept C2779901982 @default.
- W4384697979 hasConcept C2780522230 @default.
- W4384697979 hasConcept C34736171 @default.
- W4384697979 hasConcept C38652104 @default.
- W4384697979 hasConcept C41008148 @default.
- W4384697979 hasConcept C41895202 @default.
- W4384697979 hasConcept C518677369 @default.
- W4384697979 hasConcept C80444323 @default.
- W4384697979 hasConceptScore W4384697979C119857082 @default.
- W4384697979 hasConceptScore W4384697979C132525143 @default.
- W4384697979 hasConceptScore W4384697979C136764020 @default.
- W4384697979 hasConceptScore W4384697979C138885662 @default.
- W4384697979 hasConceptScore W4384697979C154945302 @default.
- W4384697979 hasConceptScore W4384697979C199360897 @default.
- W4384697979 hasConceptScore W4384697979C2779901982 @default.
- W4384697979 hasConceptScore W4384697979C2780522230 @default.
- W4384697979 hasConceptScore W4384697979C34736171 @default.
- W4384697979 hasConceptScore W4384697979C38652104 @default.
- W4384697979 hasConceptScore W4384697979C41008148 @default.
- W4384697979 hasConceptScore W4384697979C41895202 @default.
- W4384697979 hasConceptScore W4384697979C518677369 @default.
- W4384697979 hasConceptScore W4384697979C80444323 @default.
- W4384697979 hasLocation W43846979791 @default.
- W4384697979 hasOpenAccess W4384697979 @default.
- W4384697979 hasPrimaryLocation W43846979791 @default.
- W4384697979 hasRelatedWork W2382928216 @default.
- W4384697979 hasRelatedWork W2748952813 @default.
- W4384697979 hasRelatedWork W2961085424 @default.
- W4384697979 hasRelatedWork W3046775127 @default.
- W4384697979 hasRelatedWork W3170094116 @default.
- W4384697979 hasRelatedWork W4285260836 @default.
- W4384697979 hasRelatedWork W4286629047 @default.
- W4384697979 hasRelatedWork W4306321456 @default.
- W4384697979 hasRelatedWork W4306674287 @default.
- W4384697979 hasRelatedWork W4224009465 @default.
- W4384697979 isParatext "false" @default.
- W4384697979 isRetracted "false" @default.
- W4384697979 workType "article" @default.