Natural Language Processing

Natural Language Processing

Understanding Polarity in Natural Language Processing (NLP)

One of the most important and most-used functions in text analytics and NLP is sentiment analysis — the process...

Lexalytics

Dude, Where’s My Neural Net? An Informal and Slightly Personal History

It pretty much started here: McCulloch and Pitts wrote a paper [1] describing an idealized neuron as a threshold logic...

Natural Language Processing

The 7 Basic Functions of Text Analytics & Text Mining

From Tokenization to PoS Tagging and beyond, this high-level overview explains the basic functions of text analytics...

Lexalytics

Best Text Analytics Solutions: The Ultimate Guide

Discover how the top 6 text analytics vendors differ from one another and learn about which platform suits which use...

Artificial Intelligence

Machine Learning Micromodels: More Data is Not Always Better

Machine learning micromodels reduce the challenges of sourcing and annotating data while delivering better precision...

Natural Language Processing

The Ultimate NLP Tuning FAQ: Sentiment, Topics and More

Lexalytics Support Engineer Sarah Williams answers our users' most frequently-asked questions about how to tune...

Natural Language Processing

Natural Language Processing in 5 Minutes

What is natural language processing? And what does it mean for you, me and your drunk friend? Seth Redmore explains the...

Natural Language Processing

Using Semantria to Analyze Reddit Comments

We took our NLP engine and focused it on Reddit's five year goals. The insights are...

Machine Learning

What is a Matrix? A Quick Guide to Matrices

What is a matrix, and what is it used for? This short article will attempt to de-mystify this complex mathematical...