Lexalytics Support Engineer Sarah Williams answers our users’ most frequently-asked questions about how to tune Lexalytics’ 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.
Natural Language Processing in 5 Minutes
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4 m
What is natural language processing? And what does it mean for you, me and your drunk friend? Seth Redmore explains the fundamental concepts of NLP in 5 minutes or fewer.
The 7 Basic Functions of Text Analytics
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7 m
From Tokenization to PoS Tagging and beyond, this high-level overview explains the basic functions of text analytics and natural language processing.
Using Semantria to Analyze Reddit Comments
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3 m
We took our NLP engine and focused it on Reddit’s five year goals. The insights are fascinating.
What is a Matrix? A Quick Guide to Matrices
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3 m
What is a matrix, and what is it used for? This short article will attempt to de-mystify this complex mathematical concept for natural language processing.
Why are David Pogue and Walt Mossberg such Apple Fanboiz?
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5 m
We get 2 papers here at my house, courtesy of my news-hound wife: the New York Times and the Wall Street Journal. (Of course, neither has a comics section, which basically ruins the newspaper experience […]
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