AI Text Classification

Use our industry-leading AI News Autotagging SaaS to categorise your News content - better and faster than ever before.

Our Text AI Services for Publishers provides automatic classification, entity extraction, relationship extraction, and recommendations.

A case study on a recent engagement in the publishing industry using Data Graphs for centrally managing cross-publication content metadata combined with our Text AI NLP service for auto-tagging content to provide a high utility information backbone.

Tagmatic goes head to head with a number of standard multi-label classification implementations. The result: don't build, buy.

We've just benchmarked our Text AI Inline Entity Extraction SaaS. The results show a very high F1, and huge workflow efficiency improvements.

Results from our Automated PICO Tagging project: “AI Classification of COVID-19 studies to ensure clinical guidance and healthcare policy is informed by current meta-analysis of all available evidence”

We are excited to be running a new government-funded HealthTech AI project with our long term partner Cochrane.

Our new Inline Entity Extraction SaaS solves the problems around creating production-ready AI to tag text media to a Custom Domain or Knowledge Graph.

We are proud to announce the launch of our market-leading Text Classification service. This focuses on the true "aboutness" of text media.

Tagmatic is a service for automatically tagging your content. It uses sophisticated machine learning techniques to learn how you tag your content on-the-fly and then will tag new content automatically.

Our Text AI Services are now available to help your comapany quickly and efficiently classify your text.