Enterprise Search

Search is the grandfather of unstructured content technologies, but as a grandfather it shows its age when trying to deal with today’s huge volumes of content.  Synonyms, Metaphor, Emoticons and other features of the content we interact with every day all conspire to make finding information with search tougher.  Text Analytics provides one of the key tools in addressing these problems, by mining the content sources before their indexed you feed your search engine with key items like: who’s talking, what are they talking about and how are they feeling.

Text Analytics is typically integrated into the content acquisition and indexing component of a search engine to mine out metadata and improve the quality and consistency of content before it’s indexed so that you can browse your content rather than just search it.  With a Text Analytics solution integrated into search you can ask more general questions like:

  • Who's hot and who's not?
  • Is there any breaking news I need to know about?

 

Benefits

  • Empowers search to work on ideas/concepts rather than simple term matches
  • Extracts the metadata that become the facets of faceted search applications
  • Improves the searchability of social content in a corporate search application

What's coming in Salience Five?

04/14/2011

User Group 2011: Seth Grimes: Converging Silos of (Text) Analysis

04/13/2011

"It took 2 engineers only 4 days to integrate Lexalytics' Salience Engine into our content processing pipeline."

Nick Halstead CEO & Founder, Datasift

"Lexalytics Salience Engine scales to handle our trillions of entity/concept relationships.

Yes, that's trillions with a 'T'."

David Seuss, CEO, Northern Light Inc.

"We conducted several tests on our data and found Lexalytics to be at the top of the list when it came to results and affordability. Lexalytics was able to provide a solution that exceeded our expectations in ease-of-integration."

Chris McNeilly, VP of Software