Intelligent and Automated Organisation of Extensive Content Catalogues
Automated archive classification simplifies the process of efficiently managing and organising the vast quantity of digital content. With its ability to categorise and tag content automatically, it is an essential tool for media companies to handle the ever-growing flood of content and make it usable for both internal and external purposes.
Automate the classification of your content and create a well-organised library as the foundation for improved content findability and further AI-driven solutions that keep readers engaged with your content.
Archive classification uses advanced machine-learning algorithms to automatically classify and tag content based on its substance, structure, and properties.
Automated archive classification saves time and resources, improves the accuracy of content categorisation, facilitates search and organisation, and enables personalised user recommendations.
Archive classification can process various types of media content, including text, images, audio and video files, as well as documents in different formats. Our tool can handle a wide range of content; however, specialised content or languages may require additional customisation.
Archive classification offers high accuracy in content categorisation, with human-in-the-loop monitoring being an approach we recommend, at least on a sampling basis.
Yes, archive classification can be seamlessly integrated into existing systems and workflows to maximise media management efficiency.
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