Multi-Label-Text-Classification

Kaggle Toxic Comments Challenge

With continuous increase in available data, there is a pressing need to organize it and modern classification problems often involve the prediction of multiple labels simultaneously associated with a single instance. Known as Multi-Label Classification, it is one such task which is omnipresent in many real world problems.

In this project, using a Kaggle problem as example, we explore different aspects of multi-label classification.

Bird’s-eye view of the project:

• Part-1: Overview of Multi-label classification.
• Part-2: Problem definition & evaluation metrics.
• Part-3: Exploratory data analysis (EDA).
• Part-4: Data pre-processing.
• Part-5: Multi-label classification techniques.

Detailed blog about this project can be found here [https://medium.com/@nkartik94/journey-to-the-center-of-multi-label-classification-384c40229bff]