Nstein has launched its 3S Semantic Site Search text mining product, announcing Gesca Digital as its first user. Chief technology officer Jean-Michel Texier says the front-end, multi-index search engine leverages patented technology to power a faceted site search with results organised categorically. “Matching simple keywords against hundreds of thousands of documents sometimes returns a lot of irrelevant results, but 3S provides an entirely different experience,” he says. The system indexes material across multiple properties and then a semantic enrichment process to it. Concepts, categories, proper names, places, organisations, sentiment and topics – in particular content pieces – and identified and annotated. “When a user submits a search query, they are returned highly accurate, faceted results organised by topics and entities,” says Texier. “This has the effect of offering users very relevant related content, ensuring that they not only find what they're looking for but also discover other valuable content.” Gesca CTO Matthieu Delorme says his company plans to use the technology to deploy topical microsites. “One of the most exciting features is that administrators can create topical microsites or mashup sites as easily as inputting searches,” he says. “You input a search or a combination of searches across your properties and channel the results into an RSS-ready template for a topical microsite. One can really create new content-properties with just a few clicks.”