LSTMs with Attention for Aggression Detection
This is an incremental improvement for social media moderation by applying a known method to a specific shared task.
The paper tackled aggression detection in social media posts using an LSTM model with attention, achieving rankings of 6th and 4th in Hindi subtasks and 17th and 10th in English subtasks.
In this paper, we describe the system submitted for the shared task on Aggression Identification in Facebook posts and comments by the team Nishnik. Previous works demonstrate that LSTMs have achieved remarkable performance in natural language processing tasks. We deploy an LSTM model with an attention unit over it. Our system ranks 6th and 4th in the Hindi subtask for Facebook comments and subtask for generalized social media data respectively. And it ranks 17th and 10th in the corresponding English subtasks.