Which IBM Watson Natural Language Understanding service APIs would be best suited for identifying the names of persons or organizations in unstructured text documents?

The Entities API within IBM Watson Natural Language Understanding is specifically designed to identify and extract named entities from unstructured text. This includes recognizing names of persons, organizations, locations, and other relevant entities. The focus on extracting specific entities makes it particularly useful for applications that require a deeper understanding of the content in relation to identifiable subjects mentioned in the text.

In contrast, the Concepts API identifies abstract concepts that are implied within the text but does not specifically focus on named entities. The Taxonomy API categorizes text into a structured taxonomy, which is more about classification than entity recognition. The Keywords API identifies significant words or phrases but does not provide the specificity needed for recognizing named entities like people or organizations. Therefore, for the identification of names within text, the Entities API is the most suitable choice.