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Text Analytics Software with Sentiment Analysis, Categorization & Named Entity Extraction

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

  • Excel data ready for text analytics
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    A pie chart showing categories identified during text analysis

    Turn social content into media monitoring dashboards, in Excel

  • An excerpt of customer review text for text analysis
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    Semantria API sample in JSON

    Integrate with our enterprise-class cloud natural language processing API

  • A sample survey response to the question /'how was your experience/'
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    A word cloud of the themes found during an analysis of hotel reviews

    Extract valuable information from survey verbatim

  • Example tweets mentioning a particular hotel
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    A sentiment analysis software summary pie chart showing positive, negative and neutral sentiment towards the hotel front desk

    Understand social content feeds with sentiment analysis software

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

What I value most is the ability to fine-tune based on our market needs. We are a global business, with the most comprehensive content coverage and chose Lexalytics because of its very broad language coverage and ability to apply sentiment for both our news and social media content.
Chasity A. Johnson, Director, Product Management, LexisNexis
LexisNexis
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

Text Analytics - Under the Hood

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

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

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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

Markets

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

Markets →

Solutions

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

Solutions →

Applications

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

Applications →

Get a FREE trial Schedule full demo

I just want a taste

try the demo with a URL or plain text for a bit of what we do

Or call us at 1-800-377-8036

Try our demo

Or call us at 1-800-377-8036