Deep Content Understanding
Terms of Service
Deep Content Understanding by WEBSENSA revolutionises editorial and content creation processes through advanced deep learning.
It uncovers the essence of articles, identifies entities and themes, suggests related content, and integrates with complementary tools to find perfectly matched images.
Built for publishers, content creators and marketing teams, DCU accelerates research, strengthens storytelling and enhances content personalisation.
DCU tracks real-time trends and suggests relevant topics, helping editorial teams produce timely, engaging content that aligns with emerging audience interests.
With an extensive knowledge base, DCU detects named entities within your content and builds contextual links between articles, subjects and images – enabling deeper understanding and improved content organisation.
By connecting with our Media Indexing Engine, DCU automatically recommends images that best match your content, ensuring visual and narrative coherence.
Deep Content Understanding enhances editorial workflows by combining entity recognition, trend analysis and content linking.
It accelerates research, improves article relevance and strengthens audience engagement by delivering smarter, more insightful content suggestions.
Thanks to integration with complementary media tools, it also ensures that visual storytelling aligns seamlessly with article themes.
Digital Publishing
Automate tagging, reveal thematic connections and streamline editorial planning – resulting in better-organised, more engaging content.
Content Creation
Accelerate research and enrich storytelling with context-aware suggestions – helping creators produce more engaging, relevant content.
Marketing & Advertising
Analyse audience sentiments and entities to tailor content and campaigns, increasing engagement and campaign effectiveness.
Education & Research
Extract key concepts, summarise academic texts and connect related materials – streamlining knowledge discovery and curriculum development.
You provide us with a dataset of your articles, documents or content assets. Within a few weeks, we configure entity recognition, topic analysis and trend detection. The platform can also suggest related images (via Media Indexing Engine). Integration with CMS or content workflow tools is supported.
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01.
PROJECT VALUE
4,633,997.51 PLN
02.
Contribution from European funds
3,485,668.54 PLN
03.
Project implementation period
2020 – 2022
The development of the WARRP platform was co-financed by the European Union from the European Regional Development Fund within the Intelligent Development Program 2014 – 2020.

The project was realised as part of a competition by the National Centre for Research and Development: "Industrial research and development work carried out by enterprises".