Automatic News Categorization

THE PROBLEM

One of the world’s leading news agencies set out to integrate artificial intelligence into its distribution process to ensure greater accuracy in content categorization. Automating the classification of news would not only streamline publication workflows but also free editorial teams to focus on higher-value activities, such as analysis, verification and content creation.

THE SOLUTION

The news agency selected expert.ai to automate and optimize its editorial workflows.

Using AI-powered text comprehension and analysis, the agency can now automatically categorize news based on context and the precise meaning of terms, applying both standard and customized taxonomies.

As a result, content distributed globally is enriched with high-quality metadata, allowing customers to quickly locate stories of interest. Editorial workflows are now efficiently automated, minimizing manual effort and significantly improving user experience through proactive recommendations and intuitive content navigation.

BENEFITS

• Greater efficiency and precision in categorizing news and extracting relevant information
• Reduced operating time and costs associated with manual content management
• Improved user experience with faster, more targeted access to news
• Easier discovery of relevant content, even across extensive archives