Name
Title | ||
|---|---|---|
Cyberbullying Detection Based on Semantic-Enhanced Marginalized Denoising Auto-Encoder. |
Abstract | ||
|---|---|---|
As a side effect of increasingly popular social media, cyberbullying has emerged as a serious problem afflicting children, adolescents and young adults. Machine learning techniques make automatic detection of bullying messages in social media possible, and this could help to construct a healthy and safe social media environment. In this meaningful research area, one critical issue is robust and di... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TAFFC.2016.2531682 | IEEE Transactions on Affective Computing |
Keywords | Field | DocType |
Semantics,Noise reduction,Numerical models,Feature extraction,Media,Robustness,Analytical models | Domain knowledge,Computer science,Feature extraction,Robustness (computer science),Artificial intelligence,Word embedding,Deep learning,Discriminative model,Semantics,Machine learning,Feature learning | Journal |
Volume | Issue | ISSN |
8 | 3 | 1949-3045 |
Citations | PageRank | References |
11 | 0.69 | 13 |
Authors | ||
2 | ||