@InProceedings{huang-EtAl:2018:W18-44,
  author    = {Huang, Qianjia  and  Inkpen, Diana  and  Zhang, Jianhong  and  Van Bruwaene, David},
  title     = {Cyberbullying Intervention Based on Convolutional Neural Networks},
  booktitle = {Proceedings of the First Workshop on Trolling, Aggression and Cyberbullying (TRAC-2018)},
  month     = {August},
  year      = {2018},
  address   = {Santa Fe, New Mexico, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {42--51},
  abstract  = {This paper describes the process of building a cyberbullying intervention interface driven by a machine-learning based text-classification service. We make two main contributions. First, we show that cyberbullying can be identified in real-time before it takes place, with available machine learning and natural language processing tools. Second, we present a mechanism that provides individuals with early feedback about how other people would feel about wording choices in their messages before they are sent out. This interface not only gives a chance for the user to revise the text, but also provides a system-level flagging/intervention in a situation related to cyberbullying.},
  url       = {http://www.aclweb.org/anthology/W18-4405}
}