Matches in SemOpenAlex for { <https://semopenalex.org/work/W4384345401> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W4384345401 abstract "Cyberbullying takes place online on gadgets like smartphones and computers. Cyberbullying can occur through social media platforms. This paper presents a real-time cyber-bullying detection system for Twitter using Natural Language Processing (NLP) and Machine Learning (ML). The system is trained on a dataset of cyberbullying tweets using several ML algorithms and their performance is compared. Random Forest was found to provide the best results after tuning. To achieve real-time analysis, Selenium was used to scrape tweets from a given Twitter account and store the timestamp of the already checked tweets. Additionally, an image captioning model was employed to generate descriptions for images posted on the account and compare them with user-written captions to filter out spam tweets. The proposed work aims to prevent cyberbullying and provides a valuable tool for online platforms to detect and remove harmful content. The results of this study have shown that the selection of appropriate ML algorithms and preprocessing techniques significantly impact the performance of cyberbullying detection on Twitter. Our model sheds light on the appropriateness of different ML algorithms for the detection of cyberbullying." @default.
- W4384345401 created "2023-07-15" @default.
- W4384345401 creator A5016809443 @default.
- W4384345401 creator A5054016512 @default.
- W4384345401 creator A5092472927 @default.
- W4384345401 creator A5092472928 @default.
- W4384345401 date "2023-05-26" @default.
- W4384345401 modified "2023-09-25" @default.
- W4384345401 title "Analysis of Tweets for Cyberbullying Detection" @default.
- W4384345401 cites W1895577753 @default.
- W4384345401 cites W2034757259 @default.
- W4384345401 cites W2042288744 @default.
- W4384345401 cites W2583149885 @default.
- W4384345401 cites W3047016663 @default.
- W4384345401 cites W3080359515 @default.
- W4384345401 cites W3089379592 @default.
- W4384345401 cites W3157256489 @default.
- W4384345401 doi "https://doi.org/10.1109/icsccc58608.2023.10176416" @default.
- W4384345401 hasPublicationYear "2023" @default.
- W4384345401 type Work @default.
- W4384345401 citedByCount "0" @default.
- W4384345401 crossrefType "proceedings-article" @default.
- W4384345401 hasAuthorship W4384345401A5016809443 @default.
- W4384345401 hasAuthorship W4384345401A5054016512 @default.
- W4384345401 hasAuthorship W4384345401A5092472927 @default.
- W4384345401 hasAuthorship W4384345401A5092472928 @default.
- W4384345401 hasConcept C106131492 @default.
- W4384345401 hasConcept C113954288 @default.
- W4384345401 hasConcept C115961682 @default.
- W4384345401 hasConcept C119857082 @default.
- W4384345401 hasConcept C124101348 @default.
- W4384345401 hasConcept C136764020 @default.
- W4384345401 hasConcept C154945302 @default.
- W4384345401 hasConcept C157657479 @default.
- W4384345401 hasConcept C169258074 @default.
- W4384345401 hasConcept C23123220 @default.
- W4384345401 hasConcept C31972630 @default.
- W4384345401 hasConcept C34736171 @default.
- W4384345401 hasConcept C38652104 @default.
- W4384345401 hasConcept C41008148 @default.
- W4384345401 hasConcept C518677369 @default.
- W4384345401 hasConcept C66402592 @default.
- W4384345401 hasConceptScore W4384345401C106131492 @default.
- W4384345401 hasConceptScore W4384345401C113954288 @default.
- W4384345401 hasConceptScore W4384345401C115961682 @default.
- W4384345401 hasConceptScore W4384345401C119857082 @default.
- W4384345401 hasConceptScore W4384345401C124101348 @default.
- W4384345401 hasConceptScore W4384345401C136764020 @default.
- W4384345401 hasConceptScore W4384345401C154945302 @default.
- W4384345401 hasConceptScore W4384345401C157657479 @default.
- W4384345401 hasConceptScore W4384345401C169258074 @default.
- W4384345401 hasConceptScore W4384345401C23123220 @default.
- W4384345401 hasConceptScore W4384345401C31972630 @default.
- W4384345401 hasConceptScore W4384345401C34736171 @default.
- W4384345401 hasConceptScore W4384345401C38652104 @default.
- W4384345401 hasConceptScore W4384345401C41008148 @default.
- W4384345401 hasConceptScore W4384345401C518677369 @default.
- W4384345401 hasConceptScore W4384345401C66402592 @default.
- W4384345401 hasLocation W43843454011 @default.
- W4384345401 hasOpenAccess W4384345401 @default.
- W4384345401 hasPrimaryLocation W43843454011 @default.
- W4384345401 hasRelatedWork W2944636446 @default.
- W4384345401 hasRelatedWork W3116896278 @default.
- W4384345401 hasRelatedWork W3204641204 @default.
- W4384345401 hasRelatedWork W4225360065 @default.
- W4384345401 hasRelatedWork W4282839226 @default.
- W4384345401 hasRelatedWork W4283016678 @default.
- W4384345401 hasRelatedWork W4307834015 @default.
- W4384345401 hasRelatedWork W4322727400 @default.
- W4384345401 hasRelatedWork W4327531511 @default.
- W4384345401 hasRelatedWork W4327831767 @default.
- W4384345401 isParatext "false" @default.
- W4384345401 isRetracted "false" @default.
- W4384345401 workType "article" @default.