RiTUAL-UH at TRAC 2018 Shared Task: Aggression Identification
This work addresses the problem of detecting aggressive content online for social media platforms, but it is incremental as it applies existing methods to a shared task.
The paper tackled aggression identification in social media text for English and Hindi datasets, achieving best results with a combination of lexical and semantic features for English and only lexical features for Hindi, including a first-place rank in the Hindi Facebook task with an F1-score of 0.6292.
This paper presents our system for "TRAC 2018 Shared Task on Aggression Identification". Our best systems for the English dataset use a combination of lexical and semantic features. However, for Hindi data using only lexical features gave us the best results. We obtained weighted F1- measures of 0.5921 for the English Facebook task (ranked 12th), 0.5663 for the English Social Media task (ranked 6th), 0.6292 for the Hindi Facebook task (ranked 1st), and 0.4853 for the Hindi Social Media task (ranked 2nd).