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![What is Tokenization in NLP?](https://www.lexalytics.com/wp-content/uploads/2022/04/frogs.png)
Technology
What is Tokenization in NLP?
Tokenization plays an important role in key text analytics features, like entity and theme extraction. Whether you're...
![The 7 Basic Functions of Text Analytics & Text Mining](https://www.lexalytics.com/wp-content/uploads/2022/04/Text-Analytics-1.png)
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...
![Build vs Buy: Text Analytics & NLP](https://www.lexalytics.com/wp-content/uploads/2022/04/car.png)
Technology
Build vs Buy: Text Analytics & NLP
From customization to scalability, there's a lot to consider when deciding whether to build or buy an NLP or system. In...
![BERT Explained: Next-Level Natural Language Processing](https://www.lexalytics.com/wp-content/uploads/2022/04/bert.png)
Machine Learning
BERT Explained: Next-Level Natural Language Processing
BERT is the latest and greatest in Natural Language Processing technology. Our VP of Marketing, Andrea Kulkarni, stops...
![Sentiment Accuracy: Explaining the Baseline and How to Test It](https://www.lexalytics.com/wp-content/uploads/2022/04/sentiment-man.png)
Sentiment Analysis
Sentiment Accuracy: Explaining the Baseline and How to Test It
How accurate can we get with automated sentiment analysis through natural language processing? Let's run a quick test...
![Cloud or On Premise for Data Analytics: How to Choose](https://www.lexalytics.com/wp-content/uploads/2022/04/Safe-cloud.png)
Insights
Cloud or On Premise for Data Analytics: How to Choose
These 4 factors are driving big names back to private cloud or on premise implementations for data storage and...
![Machine Learning Micromodels: More Data is Not Always Better](https://www.lexalytics.com/wp-content/uploads/2022/04/machine-learning-1.png)
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...
![The Ultimate NLP Tuning FAQ: Sentiment, Topics and More](https://www.lexalytics.com/wp-content/uploads/2022/04/knob-1.png)
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...
![Automatic Text Document Summarization Using Semantic-based Analysis](https://www.lexalytics.com/wp-content/uploads/2022/04/paper-stack-5.png)
Lexalytics
Automatic Text Document Summarization Using Semantic-based Analysis
In this research article, Chandra Shekhar Yadav explains why Lexalytics' algorithm outperforms previous text document...
![The World’s First On-Premise SaaS Text Analytics System](https://www.lexalytics.com/wp-content/uploads/2022/04/Semantria-Deployment-Models-Header.png)
Product Information
The World’s First On-Premise SaaS Text Analytics System
Our Semantria SaaS text analytics API can now be deployed wherever you need depending on your privacy, security and...
![Context Analysis in NLP: Why It’s Valuable and How It’s Done](https://www.lexalytics.com/wp-content/uploads/2022/04/bricks.png)
Technology
Context Analysis in NLP: Why It’s Valuable and How It’s Done
Context analysis in NLP involves extracting n-grams, noun phrases, themes, and facets. This article explains the value...
![Natural Language Processing in 5 Minutes](https://www.lexalytics.com/wp-content/uploads/2022/04/NLP-Blog-Graphic.png)
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...