Recurrent neural network based multiclass cyber bullying classification

This publication has 19 references indexed in Scilit:

• A pipeline and comparative study of 12 machine learning models for text classification
  Expert Systems with Applications, 2022
• DEA-RNN: A Hybrid Deep Learning Approach for Cyberbullying Detection in Twitter Social Media Platform
  IEEE Access, 2022
• Abusive Bangla comments detection on Facebook using transformer-based deep learning models
  Social Network Analysis and Mining, 2021
• Cyberbullying detection: Utilizing social media features
  Expert Systems with Applications, 2021
• Deep learning CNN–LSTM framework for Arabic sentiment analysis using textual information shared in social networks
  Social Network Analysis and Mining, 2020
• A simple probabilistic explanation of term frequency-inverse document frequency (tf-idf) heuristic (and variations motivated by this explanation)
  International Journal of General Systems, 2017
• A random forest guided tour
  TEST, 2016
• Cognitive Analytics
  2016
• Interpretation of nonlinear relationships between process variables by use of random forests
  Minerals Engineering, 2012
• Cyberbullying: its nature and impact in secondary school pupils
  Journal of Child Psychology and Psychiatry, 2008