Matches in SemOpenAlex for { <https://semopenalex.org/work/W4206918331> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W4206918331 endingPage "8789" @default.
- W4206918331 startingPage "8773" @default.
- W4206918331 abstract "It has been declared by the World Health Organization (WHO) the novel coronavirus a global pandemic due to an exponential spread in COVID-19 in the past months reaching over 100 million cases and resulting in approximately 3 million deaths worldwide. Amid this pandemic, identification of cyberbullying has become a more evolving area of research over posts or comments in social media platforms. In multilingual societies like India, code-switched texts comprise the majority of the Internet. Identifying the online bullying of the code-switched user is bit challenging than monolingual cases. As a first step towards enabling the development of approaches for cyberbullying detection, we developed a new code-switched dataset, collected from Twitter utterances annotated with binary labels. To demonstrate the utility of the proposed dataset, we build different machine learning (Support Vector Machine & Logistic Regression) and deep learning (Multilayer Perceptron, Convolution Neural Network, BiLSTM, BERT) algorithms to detect cyberbullying of English-Hindi (En-Hi) code-switched text. Our proposed model integrates different hand-crafted features and is enriched by sequential and semantic patterns generated by different state-of-the-art deep neural network models. Initial experimental results of the proposed deep ensemble model on our code-switched data reveal that our approach yields state-of-the-art results, i.e., 0.93 in terms of macro-averaged F1 score. The dataset and codes of the present study will be made publicly available on the paper’s companion repository [ https://github.com/95sayanta/COVID-19-and-Cyberbullying ]." @default.
- W4206918331 created "2022-01-26" @default.
- W4206918331 creator A5022253245 @default.
- W4206918331 creator A5025979359 @default.
- W4206918331 creator A5035277232 @default.
- W4206918331 date "2022-01-08" @default.
- W4206918331 modified "2023-10-15" @default.
- W4206918331 title "COVID-19 and cyberbullying: deep ensemble model to identify cyberbullying from code-switched languages during the pandemic" @default.
- W4206918331 cites W2152126085 @default.
- W4206918331 cites W2166183437 @default.
- W4206918331 cites W2236357521 @default.
- W4206918331 cites W2259779547 @default.
- W4206918331 cites W2416164492 @default.
- W4206918331 cites W2560970694 @default.
- W4206918331 cites W2583149885 @default.
- W4206918331 cites W2891488835 @default.
- W4206918331 cites W2897565143 @default.
- W4206918331 cites W2963461183 @default.
- W4206918331 cites W3014558611 @default.
- W4206918331 cites W3035280234 @default.
- W4206918331 cites W3136045925 @default.
- W4206918331 cites W342285082 @default.
- W4206918331 cites W4230870088 @default.
- W4206918331 cites W4239510810 @default.
- W4206918331 doi "https://doi.org/10.1007/s11042-021-11601-9" @default.
- W4206918331 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35035263" @default.
- W4206918331 hasPublicationYear "2022" @default.
- W4206918331 type Work @default.
- W4206918331 citedByCount "6" @default.
- W4206918331 countsByYear W42069183312023 @default.
- W4206918331 crossrefType "journal-article" @default.
- W4206918331 hasAuthorship W4206918331A5022253245 @default.
- W4206918331 hasAuthorship W4206918331A5025979359 @default.
- W4206918331 hasAuthorship W4206918331A5035277232 @default.
- W4206918331 hasBestOaLocation W42069183311 @default.
- W4206918331 hasConcept C108583219 @default.
- W4206918331 hasConcept C110875604 @default.
- W4206918331 hasConcept C119857082 @default.
- W4206918331 hasConcept C12267149 @default.
- W4206918331 hasConcept C136764020 @default.
- W4206918331 hasConcept C154945302 @default.
- W4206918331 hasConcept C177264268 @default.
- W4206918331 hasConcept C199360897 @default.
- W4206918331 hasConcept C204321447 @default.
- W4206918331 hasConcept C2776760102 @default.
- W4206918331 hasConcept C41008148 @default.
- W4206918331 hasConcept C50644808 @default.
- W4206918331 hasConcept C518677369 @default.
- W4206918331 hasConcept C60908668 @default.
- W4206918331 hasConcept C81363708 @default.
- W4206918331 hasConceptScore W4206918331C108583219 @default.
- W4206918331 hasConceptScore W4206918331C110875604 @default.
- W4206918331 hasConceptScore W4206918331C119857082 @default.
- W4206918331 hasConceptScore W4206918331C12267149 @default.
- W4206918331 hasConceptScore W4206918331C136764020 @default.
- W4206918331 hasConceptScore W4206918331C154945302 @default.
- W4206918331 hasConceptScore W4206918331C177264268 @default.
- W4206918331 hasConceptScore W4206918331C199360897 @default.
- W4206918331 hasConceptScore W4206918331C204321447 @default.
- W4206918331 hasConceptScore W4206918331C2776760102 @default.
- W4206918331 hasConceptScore W4206918331C41008148 @default.
- W4206918331 hasConceptScore W4206918331C50644808 @default.
- W4206918331 hasConceptScore W4206918331C518677369 @default.
- W4206918331 hasConceptScore W4206918331C60908668 @default.
- W4206918331 hasConceptScore W4206918331C81363708 @default.
- W4206918331 hasIssue "6" @default.
- W4206918331 hasLocation W42069183311 @default.
- W4206918331 hasLocation W42069183312 @default.
- W4206918331 hasLocation W42069183313 @default.
- W4206918331 hasOpenAccess W4206918331 @default.
- W4206918331 hasPrimaryLocation W42069183311 @default.
- W4206918331 hasRelatedWork W148178222 @default.
- W4206918331 hasRelatedWork W2090763504 @default.
- W4206918331 hasRelatedWork W3029198973 @default.
- W4206918331 hasRelatedWork W3133861977 @default.
- W4206918331 hasRelatedWork W3167935049 @default.
- W4206918331 hasRelatedWork W3193565141 @default.
- W4206918331 hasRelatedWork W4226493464 @default.
- W4206918331 hasRelatedWork W4293226380 @default.
- W4206918331 hasRelatedWork W4312417841 @default.
- W4206918331 hasRelatedWork W4375867731 @default.
- W4206918331 hasVolume "82" @default.
- W4206918331 isParatext "false" @default.
- W4206918331 isRetracted "false" @default.
- W4206918331 workType "article" @default.