NER algorithms scan text to identify predefined categories such as names of people, organizations, dates, and other relevant entities. These algorithms use machine learning models trained on large datasets to predict and classify entities accurately. For example, in an email campaign, NER can identify customer names, product names, and dates, which can be used for personalization and segmentation.