This data sheet offers a general overview of what we do, how we do it, and who we do it for, including our NLP features, products, deployment options, industries and applications, and more.
The Lexalytics Intelligence Platform is a complete business intelligence tool that includes all of the tools you need to gather, process, analyze and visualize text data in all its forms.
Semantria for Excel puts our text analytics and natural language processing into your Excel ribbon, for analytics and visualization of text data in a familiar environment.
Salience is a set of on-premise software libraries that adds powerful, customizable text analytics and natural language processing (NLP) to your own enterprise analytics stack or data analytics product.
Learn how we help you solve precision or accuracy issues in your text analytics solution by tuning your system or training a machine learning "micromodel" to solve particularly tricky challenges.
Semantria wraps the text analytics and natural language processing features of our Salience engine into a flexible, easy-to-deploy RESTful API with graphical configuration tools.
Learn how Lexalytics, a company with more than a decade of experience in the space, uses machine learning to solve tricky problems in natural language processing and text analytics.
We’ve developed a particular philosophy around how to customize a text analytics system to better fit your business. This white paper explains why you should "Tune First, Then Train".
Sentiment analysis is the process of determining whether a piece of writing is positive, negative or neutral. This paper dives deep into how it works, including the role of machine learning and AI.
Large-scale "AI for regulatory compliance" systems often fall short. Here's how Lexalytics creates time savings and cost reductions by building targeted, semi-custom applications.
With so much hype and so many options out there, how can you be sure you're choosing the right AI partner? Start by using these 4 questions to guide your search.
This white paper explains how we break down sentences into n-grams and noun phrases and evaluate the themes and facets within to help you perform contextual analysis.
Text is one of the most important modes of human communication. Seth Redmore explains how starting from the question, rather from data, helps you truly listen to your customers, partners, competitors, and employees.
What are they talking about? Learn how we use natural language processing to categorize and sort comments, reviews and other text documents.
Who are they talking about? Learn how we extract people, places, dates, companies, products, jobs, and titles from text documents.
This white paper is a useful primer on the fundamentals and mechanisms of Natural Language Processing (NLP).
AI-led or AI-assisted? AI in education is already here, but its future is still being decided. Who’s leading the space? How are they approaching AI-powered EdTech? And what does AI ethics mean in the context of education?
BERT is the latest and greatest in Natural Language Processing technology. Our VP of Marketing, Andrea Kulkarni, stops by the blog to explain what it is and how it impacts Lexalytics.
Bias in AI causes machine learning-based systems to discriminate against particular groups. We investigated why AI bias occurs, and how to fight back.
How accurate can we get with automated sentiment analysis through natural language processing? Let’s run a quick test and see what we learn.
From customization to scalability, there’s a lot to consider when deciding whether to build or buy an NLP or system. In this article we outline the dilemma and explore the pros and cons and costs of both options.
When it comes to medical research, scientists are increasingly turning to social media data. In this article, researchers from Sant Baba Bhag Singh University use Lexalytics to study the impact of treatment and dietary practices on patients with diabetes.