Turn Words into Money

Lexalytics "words-first" AI & natural language processing delivers:

  • Increased work efficiency
  • More opportunities
  • Decision support at any scale
  • Increased work efficiency
  • More opportunities
  • Decision support at any scale
  • angoss, tracx, kpmg nunwood, room and board, voziq
  • gooddata, falconio, hootsuite, sprinklr, trendkite
  • the news funnel, satmetrix, listenfirst, edigital research, inmoment
Industries

Companies run on words. Learn how Lexalytics uses natural language machine learning to deliver business-transforming capabilities.

Applications

Unlock the value of your words. See how Lexalytics derives value directly from your text.

The Blog

Where we deliver the information you need to stay up-to-date with insights into machine learning, natural language processing, and text analytics.

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The Power of Words-First Machine Learning

You look at the world from a unique perspective. The data you rely on is unique to your company. And you have unique questions you’d like to answer. Shouldn’t you start with a company that has an extensive track record of delivering useful results from messy text data?

That’s where Lexalytics comes in. We delivered the first commercial sentiment analysis engine in 2004, and we’ve been quietly using machine learning since 2008. That’s nearly 10 years of delivering, integrating, and extracting answers. Tens of thousands of model runs, using a variety of machine learning tools. But rather than just building a model and being done with it, we’ve delivered answers. We’ve answered small questions, conquered enterprise-scale challenges, and everything in between. We process billions of text documents every day, and have delivered over 1012 processed text documents just since we started using machine learning. The bumps, scrapes, and scratches we’ve accumulated over the years have taught us valuable lessons on minimizing risk and maximizing value. In short: Lexalytics delivers results.

The Lexalytics Method

Focus on delivering initial results quickly. Start with a small, low-risk system that answers a few specific questions. Establish the value of your solution, then expand its capabilities and add more solutions. Train each system independently, to maximize each one’s ability. By following this method, you will:

  • Lower initial risk by trying more solutions with less investment
  • Bring your solution to market faster and more efficiently
  • Build a comprehensive system that ignores silos and works across your entire enterprise

Text Analytics - The Basics

1

First, we break sentences and phrases down to evaluate semantics, syntax, and context, using state-of-the-art unsupervised machine learning.

2

Then, we leverage supervised and semi-supervised machine learning, natural language processing techniques, and our own highly-evolved dictionaries to perform sentiment analysis, extract named entities, themes, categories, and intentions, and create summaries.

3

Finally, we reveal complex relationships within the text, like themes and sentiment of individual entities, the sentiment of categories, and even connections between entities, to offer rich context insights.

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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