One of the most important and most-used functions in text analytics and NLP is sentiment analysis — the process of determining whether a word, phrase, or document is positive, negative, or neutral. The first step […]
The Blog.
5 Industries Taking Advantage of Text Analytics
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3 m
Text analytics, also called text mining, has countless applications. Businesses are taking advantage of text analytics to update their service offerings, improve compliance, get ahead of PR disasters, and more. Here are 5 examples of […]
The 7 Basic Functions of Text Analytics & Text Mining
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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.
Text Analytics & NLP in Healthcare: Applications & Use Cases
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10 m
Healthcare databases are growing exponentially. Today, healthcare providers, drug makers and others are turning this data into value by using text analytics and natural language processing to mine unstructured healthcare data and then doing something with the results. Here are some examples.
AI In Financial Services: Three Current And Emerging Applications
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5 m
While the impact of artificial intelligence (AI) is a bit of a mixed bag in a number of industries, we’re seeing some exciting traction in financial services. In this month’s article, I take a look […]
How AI Can Be Used As A Disaster Preparedness And Support System
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4 m
The coronavirus pandemic has revealed a lack of disaster preparedness on a global scale. This is despite the fact that COVID-19 is not the first pandemic we’ve faced in recent years — between 2011 and 2018, […]
Build vs Buy: Text Analytics & NLP
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9 m
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.
Best Text Analytics Solutions: The Ultimate Guide
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15 m
Discover how the top 6 text analytics vendors differ from one another and learn about which platform suits which use case. This comprehensive text analytics guide serves as the who’s who and the what’s what in natural language processing.
Machine Learning Micromodels: More Data is Not Always Better
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6 m
Machine learning micromodels reduce the challenges of sourcing and annotating data while delivering better precision and accuracy than macromodels.
Agatha Christie, Nuns, and Alzheimer’s
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What do 678 nuns, Agatha Christie, and a grey cat have in common? In this article, our COO, Tim, explores how text analytics and linguistic density could detect the onset of Alzheimer’s Disease.
Airport Series: Chicago And Viral Reputation Management
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5 m
In this installment of the airport series, we turn to Chicago O’Hare. ORD is still feeling repercussions after a viral incident from early 2017 rocked its customer base. This PR nightmare emphasizes an important role of text analytics as an agent of brand management.
Airport Series: Atlanta and Wayfinding
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6 m
Not only is Hartsfield–Jackson Atlanta International Airport the busiest airport on earth, its “plane train” is the busiest rail system in America. This volume means Atlanta International needs to run with near flawless perfection. In this analysis, we learn exactlty how they can make strides toward that goal.