I think the paragraph is a bit too long. Proposed reformulation:

**Multilabel classification** assigns to each sample a set of target labels. This can be thought of as predicting properties of a data-point that are not mutually exclusive, such as topics that are relevant for a document.
A text might be about any subset of "religion, politics, finance, education" at the same time.