Aggression Detection on Social Media Text Using Deep Neural Networks
Vinay Kumar Singh, Aman Varshney, Syed Sarfaraz Akhtar, Deepanshu Vijay, Manish Shrivastava · 2018
In the past few years, bully and aggressive posts on social media have grown significantly, causing serious consequences for victims/users of all demographics.Majority of the work in this field has been done for English only.In this paper, we introduce a deep learning based classification system for Facebook posts and comments of Hindi-English Code-Mixed text to detect the aggressive behaviour of/towards users.Our work focuses on text from users majorly in the Indian Subcontinent.The dataset that we used for our models is provided by TRAC-1 1 in their shared task.Our classification model assigns each Facebook post/comment to one of the three predefined categories: "Overtly Aggressive", "Covertly Aggressive" and "Non-Aggressive".We experimented with 6 classification models and our CNN model on a 10 K-fold crossvalidation gave the best result with the prediction accuracy of 73.2%.