Aggression Detection in Tweets using LSTM and DistilBERT

Overview

This project focuses on detecting linguistic aggression in tweets. It employs Long Short-Term Memory (LSTM) networks and DistilBERT, a distilled version of BERT, to create models capable of identifying aggressive language. The repository contains all necessary code for data preparation, model training, and evaluation.