Highly customizable Sentiment Analysis, Categorization & Named Entity Extraction

Text Analytics that scale from a single desktop analyst to systems processing billions of documents a month

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    Turn social content into media monitoring dashboards, in Excel

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    Integrate with our enterprise-class cloud API

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    Extract valuable information from survey verbatim

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    Understand social content feeds

Paste a webpage address above or try the demo with plain text to understand what we do

Integrating Lexalytics into our Node.js-centric stack was easy, the Salience Python modules allowed us to create high performance HTTP APIs...
Dominiek Ter Heide, CTO Bottlenose
Dominiek Ter Heide from BottleNose
It took 2 engineers only 4 days to integrate Lexalytics' Salience Engine into our content processing pipeline.
Lorenzo Alberton, CTO DataSift
Nick Halstead from Datasift
  • Cision
  • HP
  • Microsoft
  • Sprinklr
  • Microsoft
  • Satmetrix

Under the hood


We first evaluate semantics, syntax, and context using state of the art unsupervised machine-learning techniques and expert-tuned industry rules


Then, we combine machine-learning, natural language processing, and dictionaries to extract features like entities, themes, categories, summaries, intentions, and sentiment


Finally, highly accurate algorithms associate features with each other; surfacing relationships in the text, like themes and sentiment of individual entities, or the sentiment of categories, and even relationships between entities


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  • Retail Sales
  • Product Development
  • Entertainment
  • Consumer Packaged Goods

Markets →


  • Advertising Campaigns
  • Brand Management
  • Competitor Analysis
  • Generating New Product Ideas
  • Optimizing Marketing Spending

Solutions →


  • Customer Experience Management
  • Voice of Customer
  • Social Media Monitoring
  • Market Research
  • Enterprise Search

Applications →

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Or call us at 1-800-377-8036