Multi-Label Text Classification

Multi-label text classification becomes critical when real-world texts cannot be reduced to a single topic or intent. In domains such as news, call-center logs, medical reports, and CV analysis, one text may legitimately belong to several labels at once. This requires careful treatment of label correlations and threshold design. It offers a more complex but more realistic framework than standard single-label classification.