Text Analytics & Sentiment Analysis Software for Market Intelligence

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Text analytics and opinion mining software provide 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 and text mining.

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  • Chew millions of open-ended responses or phone-book sized research reports
  • Discover what's in those responses without configuring a thing
  • Tune and zero in on the precise analysis that's right for your business
  • datasift logo
    "It took 2 engineers only 4 days to integrate Lexalytics' Salience Engine into our content processing pipeline."--Nick Halstead CEO & Founder, Datasift
  • smartbrief logo
    "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
  • bottlenose logo
    At Bottlenose we combine big data with the latest web technologies out there. We’re big fans of Node.js, Elasticsearch and HTML5. Integrating Lexalytics into our Node.js-centric stack was easy, the Salience Python modules allowed us to create high performance HTTP APIs which we could then scale up into our pipeline to get the desired >1000 msg/s throughput we needed. --Dominiek ter Heide, CTO
  • coveo logo
    Lexalytics' enterprise class text mining, coupled with Coveo’s Search & Relevance technology helps take Knowledge Management programs to a broader and deeper level of employee and customer engagement. The ability to auto-generate taxonomies, enrich content with metadata, understand relationships among information in vastly different systems and bring only relevant information and experts into the flow of work are all next-generation capabilities that KM practitioners need to leverage. --Diane Berry, Chief Knowledge Evangelist