Research Article
A Creativity Survey of Cyberbullying Classification Based on Social Network Analysis
@INPROCEEDINGS{10.4108/eai.26-5-2023.2334259, author={Mengran Liu}, title={A Creativity Survey of Cyberbullying Classification Based on Social Network Analysis}, proceedings={Proceedings of the 2nd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2023, May 26--28, 2023, Nanjing, China}, publisher={EAI}, proceedings_a={MSEA}, year={2023}, month={7}, keywords={social network analysis cyberbullying neural networks text mining}, doi={10.4108/eai.26-5-2023.2334259} }- Mengran Liu
Year: 2023
A Creativity Survey of Cyberbullying Classification Based on Social Network Analysis
MSEA
EAI
DOI: 10.4108/eai.26-5-2023.2334259
Abstract
Cyberbullying has been a relatively common problem in recent years. With the development and popularity of the Internet and social media, harassment, discrimination and verbal attacks on the Internet have become more and more frequent, leading to the mental health of many Internet users. In addition, the rise and application of neural networks and text mining have successfully contributed to the research on the detection and prediction of cyberbullying. In this paper, we study the detection methods of cyberbullying and summarize its research status and progress. The research questions, research methods, and measurement methods in the target papers and references were classified. Finally, all the studies are summarized and the directions and innovations of the unstudied are listed.
