Multi-label NLP refers back to the activity of assigning a number of labels to a given textual content enter, somewhat than only one label. In conventional NLP duties, similar to textual content classification or sentiment evaluation, every enter is usually assigned a single label based mostly on its content material. Nevertheless, in lots of real-world situations, a bit of textual content can belong to a number of classes or categorical a number of sentiments concurrently. Multi-label NLP is essential as a result of it permits us to seize extra nuanced and sophisticated data from textual content knowledge. For instance, within the area of buyer suggestions evaluation, a buyer evaluation could…