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Contextualize Sentiment using Lexalytics Salience Analytics Software
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Contextualize Sentiment using Lexalytics Salience Analytics Software

Contextualize Sentiment using Lexalytics Salience Analytics Software
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Contextualize Sentiment using Lexalytics Salience Analytics Software : Lexalytics, updated its Salience sentiment analytics platform with quicker, more accurate processing, easier configuration of query topics in accented languages such as Portuguese and Spanish, and the ability to contextualize sentiment statements using Boolean search logic. Salience is Lexalytics’ on-premise text analytics engine that processes over three billion documents per day and helps professionals in social media marketing (SMM), customer experience management (CEM), reputation management and voice of the customer (VOC) transform their customers’ thoughts and conversations into valuable insights. With this new rollout, Salience 6.1 incorporates an improved Syntax Matrix, Lexalytics’ technology that automatically parses text to understand how the phrases within a sentence relate to each other and enables the software to comprehend complex sentences quickly and accurately. For example, the sentences, “It was a bad day until my brother Jim arrived,” and “It was a bad day because my brother Jim arrived,” have very different meanings and sentiments. Salience’s natural language processing (NLP) capabilities can now accurately distinguish such differences. Syntax Matrix is the technology that also powers Lexalytics’ intention analysis, which helps predict a consumer’s behavior based on the statements they make online.

Lexalytics deploys cloud and on-premise text and sentiment analysis technologies that transform customers’ thoughts and conversations into actionable insights. The on-premise Salience and SaaS Semantria platforms are implemented in a variety of industries for social media monitoring, reputation management and voice of the customer programs.

“At evolve24, we work with some of the biggest brands to help them make critical business decisions based on insights derived from their big data,” said Noah Krusell, VP of Product Development, evolve24. “The Lexalytics Salience text analytics engine is a key tool for us in conjunction with our proprietary emotion metric, and this next evolution of functionality promises an even more comprehensive look into the conversations our customers’ customers are having.”

In addition to the updated Syntax Matrix, Salience 6.1 features the ability to configure the engine with or without accents, making it easier for users analyzing documents in accented languages like Portuguese and Spanish. Customers can also now use Boolean search logic for contextualizing sentiment statements. This allows for simple disambiguation of words like “sick” that have different meanings depending on whether you’re talking about video games or talking about 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, Lexalytics. “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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