KMWorld - Nstein has announced Semantic Site Search (3S), which employs the company’s text-mining technology to power a faceted site search that returns highly accurate results that are organized categorically.3S can ingest content from many different indexes from a variety of Web publishing platforms, meaning it indexes material across multiple properties. It then applies Nstein's semantic enrichment process to it. 3S' embedded Text Mining Engine (TME) identifies concepts, categories, proper names, places, organizations, sentiment and topics in particular content pieces and then annotates those documents, creating a semantic fingerprint that exposes underlying nuances and meaning in content.
Nstein's 3s is a highly configurable and customizable search for the business environment. This will help combat information glut that would normally take place. Widgets are also bundled which are designed to make the search experience more enjoyable. These widgets also allow for organization of the information from date of relevance. Text Mining technology can really benefit a a company and Nstein's semantic site search seems like a very useful product.
No comments:
Post a Comment