Content Tagging

Enhanced Reading Experience and New Monetisation Opportunities

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Build the Solid Foundation for Adding Value to Your Content

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.

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Precision and Speed

Our tool classifies your content accurately and in real time, preparing it for a wide range of advanced applications.

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Improved Reading Experience

Using the content tagging approach, similar content is suggested to readers, increasing engagement and dwell time.

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Process Optimisation

Seamlessly integrate our tool into your workflow to quickly classify content, for example, for archiving purposes.

Top Use Cases of Automated News Reporting

Personalised Recommendations

Use tags to provide personalised recommendations to users based on their interests and preferences.

Improved SEO Relevance

Enhance content discoverability with precise tagging, leading to better search engine rankings and increased reach.

Monetisation Driver

Our content tagging tool lays the groundwork for providing advertisers with high-quality, contextually relevant advertising opportunities.

Automated Content Tagging

Automatically categorise your articles. Depending on the frequency and weighting of recognised names, locations, keywords, and other entities, articles are assigned to specific categories.

Ready to Take Your Content to the Next Level?

Discover today how our content tagging tool can support your business goals!

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Technologies Used in This Tool

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NLP

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Classification

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Entity Extraction

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Text Mining

Frequently Asked Questions About Automated News Reporting

Why is content tagging important?

Content tagging efficiently organises content, making it easily discoverable and enabling personalised recommendations, which ultimately improves user experience and content visibility.

What are the benefits of automated content tagging?

Automated tagging allows for fast and accurate content categorisation, personalised recommendations, improved search engine rankings, and a solid foundation for high-quality ad placements.

How does automated content tagging work?

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).

What types of tags can be used?

Tags can include people, organisations, geographic entities, events, key terms, standardised advertising categories, or other criteria tailored to business needs.

Can content tagging be done in real time?

Yes, advanced content tagging tools analyse and tag content in real time, allowing immediate adaptation to changing trends and topics.

How can content tagging improve SEO?

By tagging content with relevant keywords and entities, SEO can be enhanced, resulting in better search engine rankings and broader reach.

Expand Your Toolbox Flexibly

Need more than content tagging support? Customise your toolbox to suit your needs!

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Archive Classification

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Automated News Reporting

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In-Text Linking

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Rewrite

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Topic Pages

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Transcriptions

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Knowledge Management

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Question Answering

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Custom Solutions

Discover our solutions for content automationin publishing and media

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Your partner

Aleksandar Petrovic