Multi-Label Text Classification Using Scikit-multilearn: a Case Study with StackOverflow Questions

Author(s): Avishek Nag

Originally published on Towards AI.

Designing a multi-label text classification model which helps to tag stackoverflow.com questions with different topics

Everyday users of stackoverflow.com posts many technical questions and all those get tagged with different topics. In this article, we will discuss a classification model that can automatically tell which tags can be attached to an unanswered question.

Obviously, there are multiple tags that can be associated with a question. So, ultimately this problem becomes ‘classifying a question and attaching class labels to it’. By Machine Learning theory, it is a ‘Multi-Label classification’ problem.

We already discussed about different theoretical techniques and accuracy metrics required for multi-label models in the below article.

Theory behind multi-label/multi-tagging model, different umbrella classification schemes and accuracy metric… Read the full blog for free on Medium.

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Published via Towards AI