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How to Enhance your

 Machine Learning Initiatives

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Shhh...it's classified

Download the paper to learn how to: 

Machine learning is becoming more and more advanced, but it can be improved when applied within a framework of solid classification and analysis methods such as taxonomy, providing much-needed context.


In his latest whitepaper, Contextual Machine Learning: It’s Classified, Seth Grimes discusses current analytics models and shows how they can be supported and enriched by better text classification. He also outlines the five ways that machine learning accuracy can be improved by deep text classification.

Make better predictions with taxonomy and machine learning

Enrich machine learning with text classification

Check outputs with a higher degree of accuracy than human evaluators

Apply eContext's deep linguistic library to automate your annotations

About the Author


Seth Grimes consults on business applications of natural language processing, text analytics, sentiment analysis, and data visualization. He founded Alta Plana Corporation in 1997 and the Sentiment Analysis Symposium conference series in 2010. He co-organizes the LT Accelerate conference in Brussels, a European forum for language-technology adoption. Follow him on Twitter at @SethGrimes.com.

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