The service provides analysis of selected text passages to identify named entities and statements of fact with disambiguation to distinguish similar text strings. It applies machine learning algorithms and natural language processing to connect a text sample with a knowledge base and identify known elements and their relationships.
API methods support submission of a text sample to be parsed. Methods identify text strings associated with known named entities and detail the relationships and dependencies between them by type. Methods also identify synonyms for identified terms and topics or themes referenced in the text sample.
The following is a list of how-to and tutorial content that matched your search term. ProgrammableWeb's how-to content comes from two sources; full-blown tutorials that we publish ourselves and other highly relevant tutorials that we find elsewhere on the Web. This list represents on combination of both tutorial types and if you go to ProgrammableWeb's API University, you'll not only be able to find more, they are organized based on your role (API providers or developers who consumes APIs). If you know of a tutorial that would be of interest to the ProgrammableWeb community, we'd like to know about it. Be sure to check our guidelines for making contributions to ProgrammableWeb.