Market Intelligence

Text analytics provides huge value in being able to reduce the amount of grunt work so analysts can analyze - not deal with qualitative coding work.

From consumer packaged goods to healthcare policy, from website analysis to customer satisfaction, from politics to media; research in every area is more efficient and more repeatable with algorithmic text analytics.

Rather than trying to count and code responses, why not let a machine do it for you, so that you can focus on the big picture, focus on the strategy and the approach needed to address issues and help your clients gain market share.

Benefits

  • Chew millions of open-ended responses or phone-book sized research reports
  • Automatically extract companies, people, products, locations
  • Understand overall context without reading everything
  • Robust analysis of sentiment/tonality

Search and Text Analytics, Jeff Catlin for Network World

02/21/2012

Neil Glassman: 12 Random, Snarky and (I hope) Relevant Comments on Social Media

06/07/2011

What's coming in Salience Five?

04/14/2011

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

04/13/2011

User Group 2011: Dan Stone (Altman Vilandrie): "Twitter vs. News, Leading vs. Lagging Sentiment in the iPhone 4..."

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