Hello and welcome! Thank you for taking the time to explore this project
The present project aims to develop a Deep Learning multi-label classification model for filtering toxic comments within social network platforms.
To achieve this goal, the project is divided into several distinct steps:
- Data Exploration: In this phase, we will delve into the dataset to gain a better understanding of the data;
- Data Pre-processing: The collected dataset will undergo a comprehensive data cleaning and pre-processing pipeline. This includes tasks such as text tokenization to transform the raw data into a format suitable for training Deep Learning models;
- Model Building and Evaluation: The next step is to train different Deep Learning models on the preprocessed text data, capable of multi-label classification.