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Capability

AI automated tagging in Production

Delivered by these Product Features
Explainable AI dashboard
Explainable AI dashboard
An Explainable AI dashboard monitors the performance and the quality of every tag classifier
Involves these Technologies
Machine Learning (ML)
Automated Content Tagging using Artificial Intelligence (AI)
The use of AI or Machine Learning (ML) to automatically predict content classifications. This is also known as "Auto-tagging" or "Auto-coding" (Healthcare applications) or "Auto-classification".
Artificial Intelligence (AI)
AI is a core discipline at Data Language, with an expert team skilled in machine learning, deep learning, and scalable Production AI engineering. AI is advancing as the key technology that all businesses need to master.
Training Corpus
A training corpus is a collection of digital assets and associated metadata that is used to train a machine learning model. This is an essential part of AI automation.
Artificial Intelligence (AI) Text Classification
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.
Inhibited by these Problems
Poor quality content tagging
FAQs
What are the biggest challenges in AI Auto-Tagging?
  1. The tags are too generic and not relevant.
  2. The AI needs retraining before new tags appear.
  3. The AI does not use "our own tags".
  4. The AI does not follow the right tagging style ("house style").
  5. The AI requires expensive support from data scientists and engineers.