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Multi label classification has become a very important paradigm in the last few years because of the increasing domains that it can be applied to. Many researchers have developed many algorithms to solve the problem of multi label classification. Nerveless, there are still some stuck problems that need to be investigated in depth. The aim of this paper is to provide researchers with a brief introduction to the problem of multi label classification, and introduce some of the most trending challenges.

Trending Challenges in Multi Label Classification