Machine Learning (ML) for Natural Language Processing (NLP) - Lexalytics
This article explains how machine learning can solve problems in natural language processing and text analytics and why a hybrid ML-NLP approach is best.| Lexalytics
This article explains how machine learning can solve problems in natural language processing and text analytics and why a hybrid ML-NLP approach is best.| Lexalytics
Text analytics is the process of transforming unstructured text documents into usable, structured data. Text analysis works by breaking apart sentences| Lexalytics
Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral. A sentiment analysis system for text| Lexalytics
Boolean queries, machine learning classifiers, auto-categories and concept topics| Lexalytics
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From Tokenization to PoS Tagging and beyond, this high-level overview explains the basic functions of text analytics and natural language processing.| Lexalytics
Building your own NLP can be a viable choice but is rarely the best one. This article explains Build vs Buy for text analytics and how to choose a solution.| Lexalytics
Did you know that, according to a survey by Gallup and Amazon, “...upskilling is becoming a sought-after employee benefit and powerful attraction tool| Lexalytics
Check out some highlights of Lexalytics media coverage over the past few months, including recent customer engagements with La-Z-Boy and Foot Locker, industry| Lexalytics
When Mike Marshall and I started Lexalytics back in 2003 as a content management startup, little did we know that the two of us would still be here all these| 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.| Lexalytics
While much of the tech world has come through Covid-19 relatively unscathed, some tech-focused industries have definitely felt the effects of the pandemic. As| Lexalytics
Check out some recent media coverage for Lexalytics, covering new industry perspectives, our recent announcement regarding language support across our product| Lexalytics
Artificial intelligence and machine learning can help to improve disaster relief programs by quickly processing large volumes of complex, fragmented data.| Lexalytics
Today I’m excited to share the news that Lexalytics has been acquired by InMoment, the leader in Experience Improvement (XI). If you haven’t already seen the| Lexalytics
Tokenization plays an important role in key text analytics features, like entity and theme extraction. Whether you're building or buying, you've gotta know tokenization. In this two minute article, our Chief Scientist, Paul, lays out the fundamentals.| Lexalytics
Popular media and hype cycles are leading us to expect radical changes and perfect results from artificial intelligence. But you don’t read perfectly, so why should your AI? In this blog, Tim Mohler explains when "good" is good enough for AI.| Lexalytics
