Given the high volume of content produced in the media landscape, it is essential to classify and organise relevant content promptly. This ensures it is easily discoverable by target audiences while also preparing it for context-based advertising. Content tagging serves as the backbone for systems like intelligent searches, archives, and personalised recommendations. Our tool enables automated, real-time classification.
Automatically categorise your articles. Depending on the frequency and weighting of recognised names, locations, keywords, and other entities, articles are assigned to specific categories.
Content tagging efficiently organises content, making it easily discoverable and enabling personalised recommendations, which ultimately improves user experience and content visibility.
Automated tagging allows for fast and accurate content categorisation, personalised recommendations, improved search engine rankings, and a solid foundation for high-quality ad placements.
Automated content tagging employs various technical approaches:
Semantic Analysis: Extracts word meaning in context using Named Entity Recognition, identifying keywords, phrases, and entities relevant for tagging.
Rule-Based Systems: Tags are assigned based on predefined rules, including keywords, URLs, or other criteria, making them ideal for simple automation tasks.
Taxonomies and Ontologies: Ensure consistent and meaningful tags by organising them hierarchically (taxonomies) or defining semantic relationships (ontologies).
Tags can include people, organisations, geographic entities, events, key terms, standardised advertising categories, or other criteria tailored to business needs.
Yes, advanced content tagging tools analyse and tag content in real time, allowing immediate adaptation to changing trends and topics.
By tagging content with relevant keywords and entities, SEO can be enhanced, resulting in better search engine rankings and broader reach.
Need more than content tagging support? Customise your toolbox to suit your needs!