The bag of words model, a commonly used technique in Natural Language Processing (NLP), is primarily designed for handling single-label classification tasks. However, there are several approaches to adapt the bag of words model to handle multiple labels attached to a sentence. In this answer, we will explore three popular methods: the binary relevance method,