New Benchmarks from our Tagmatic Named Entity Recognition (NER) SaaS Product
We've just benchmarked our Tagmatic Inline Entity Extraction SaaS. The results show a very high F1, and huge workflow efficiency improvements.
7 articles
AI is frequently used for text classification. From very generic models, through to highly business-specific SaaS services, this technology enables a business to organize unstructured text against structured and connected data models.
We've just benchmarked our Tagmatic 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...
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.
Our Text AI Services are now available to help your comapany quickly and efficiently classify your text.
We are excited to be running a new government-funded HealthTech AI project with our long term partner Cochrane.
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...