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Aim at multi-label sentiments classification of customer reviews. This paper presents a hierarchical ML-kNN algorithm. Different from the traditional ML-kNN algorithm, this algorithm can capture the connection of labels by introducing auxiliary labels. The experimental results show that our proposed approach can improve the performances of multi-label sentiments classification of customer reviews. In addition, due to the effective use of auxiliary information, our algorithm can greatly reduce the interference of noises.

A Hierarchical ML-kNN Method for Complex Emotion Analysis on Customer Reviews