Text Analytics & Sentiment Analysis Software for Media

Lexalytics text analytics and text mining software helps your content work even harder so that you can spend time creating it and not curating it.

Automatic tagging and categorization leads to better search engine optimization with less time spent.

Frictionless tagging also leads to better content syndication possibilities.

Improve your ad targeting through improved user profiles and a deeper understanding of what's actually being said on the current page.

Easily understand which user-generated content is relevant, and then import it and monetize it.

Multiply pageviews with automatic "related content" links.

Cross-reference content based on named entities (people, places, companies, etc), sentiment/tonality, geographic locations, and semantic concept topics.

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Benefits

  • Automatic tagging and categorization of content for better re-use and SEO
  • Dynamic ad targeting through rich user profiles and deep semantic knowledge of your content
  • Related content links based on many different aspects of the content
  • "It took 2 engineers only 4 days to integrate Lexalytics' Salience Engine into our content processing pipeline."--Nick Halstead CEO & Founder, Datasift
  • "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
  • 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
  • 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