The SemanticHacker API provides a signature service call that analyzes the text or web page provided in the call and returns a Semantic Signature. Semantic Signatures are a unique way of representing and analyzing multiple concepts and topics in text. They can be constructed for a wide range of texts including individual words, phrases, word-lists (e.g. metadata), short passages (such as text advertisements or image labels), web pages, or full text documents (e.g. technical articles).
Every text processed using Semantic Signatures is tagged with 30 weighted semantic dimensions. Each dimension represents a concept and its associated weight within the document. These weighted dimensions can be used for similarity search (content matching) and/or categorization (if you have a large data set and prefer a more refined distinction).
Learn more about Semantic Signatures on the Technology Overview page.