Lexalytics Releases Salience 6.1
The new version of Salience text analytics offers greater contextual understanding
Posted Jun 3, 2015
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Lexalytics, a provider of text and sentiment analytics solutions, has updated its Salience text analytics platform with quicker, more accurate processing, easier configuration of query topics in accented languages like Portuguese and Spanish, and the ability to contextualize sentiment statements using Boolean search logic.

Salience is Lexalytics' on-premises text analytics engine that processes more than 3 billion documents per day and helps professionals in social media marketing, customer experience management, reputation management, and voice of the customer transform their customers' thoughts and conversations into valuable insights.

With this new rollout, Salience 6.1 incorporates an improved Syntax Matrix, Lexalytics' proprietary technology that automatically parses text to understand how the phrases within sentences relate to each other and enables the software to comprehend complex sentences. The Syntax Matrix is the technology that also powers Lexalytics' intention analysis, which helps predict consumer behavior based on the statements they make online.

In addition to the updated Syntax Matrix, Salience 6.1 allows users to configure the engine with or without accents. Customers can also now use Boolean search logic for contextualizing sentiment statements. This allows for simple disambiguation of words like sick, which can have different meanings when talking about video games or hospitals.

"Lexalytics is the first company to provide built-in data for syntax and semantics, which lets us perform calculations faster, more accurately and more transparently than anyone else," said Jeff Catlin, CEO of Lexalytics, in a statement. "This is an important step to providing truly vertical text mining, with optimized accuracy and ease of use for customer-service-centric businesses like hotels where they simply want to improve the satisfaction of their customers and not worry about things like making sure their listening solution is accurately interpreting the text."

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