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A music streaming service wants to improve its recommendation engine by tagging songs with multiple mood labels like energetic, sad, or relaxing, based on the song's lyrics and beat. Sometimes a song might fit more than one mood — for example, a song could be both romantic and relaxing. The team needs a machine learning method that can handle this requirement, ensuring songs can have multiple mood tags instead of being forced into just one category. Which ML classification method should the team implement?