Nstein Offers Semantic Site Search
Text mining engine identifies concepts, categories, more.
CMS provider Nstein Technologies has launched Semantic Site Search (dubbed 3S for short), a new front-end, multi-index search engine that uses text-mining technology to generate search results that are organized categorically.
3S can take content from different indices from different Web publishing platforms. The text mining engine then identifies concepts, categories, proper names, places, organizations, sentiment and topics in specific content pieces and then annotates those documents, creating a “semantic fingerprint.”
According to Nstein CTO Jean-Michel Texier, when a user submits a search query to 3S, “they are returned highly accurate, faceted results organized by topics and entities. 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."
3S is customizable and has a visual interface that lets administrators tweak search sensitivity algorithms without having to modify hard code. The service also comes with front-end widgets that can be bundled to point users to “similar content” or “most recent content.”
Gesca Digital, which owns French-language media web sites such as Cyberpresse.ca and LaPresseAffaires.com, is the first 3S client and will use the semantic search service to deploy topical microsites. “You input search or a combination of searches across your properties and channel the results into an RSS-ready template or microsiste, just like that,” said Gesca Digital CTO Matthieu Delorme. “One can really create new content-properties with just a few clicks."