Content Taxonomies Dimensions
Content taxonomies dimensions let you understand how your content is categorized across different classification systems. These dimensions cover IAB standardized categories, Google NLP-powered topic detection, and publisher-defined tags, giving you a complete view of your content’s thematic structure.
Dimensions
Section titled “Dimensions”IAB Category
Section titled “IAB Category”The content’s IAB Category as defined by the standardized taxonomy created by the Interactive Advertising Bureau (IAB) to classify digital content into specific categories, such as “Technology,” “Health,” or “Sports.”
IAB Top-level Category
Section titled “IAB Top-level Category”IAB tier-1 (top level) categories are broad, high-level categories that represent overarching content themes. They give advertisers and publishers a quick way to identify the general type of content for ad targeting and contextual alignment.
IAB Down-level Category
Section titled “IAB Down-level Category”IAB tier-2 (sub level) categories are more specific subcategories nested within each top level category, offering detailed classifications of content. This structure allows for more granular targeting, enabling advertisers to align their messaging with niche content and audiences for better relevance and performance.
A topic is a specific, identifiable item within the text of an article that holds distinct meaning or significance and is broadly representative of the article’s theme. Marfeel uses the Google NLP Entity Recognition API to analyze content and identify each article’s topic.
Topics are only available in the following languages:
- Chinese (traditional)
- Chinese (simplified)
- English
- French
- German
- Italian
- Japanese
- Korean
- Portuguese
- Russian
- Spanish
Topic Category
Section titled “Topic Category”The high-level grouping to which a Topic belongs. Topics are groupings of nouns or noun phrases which can be categorized into predefined types, such as New York > Location, Albert Einstein > Person, or Google > Organization. Marfeel uses the Google NLP Entity Recognition API to analyze content and define its topic category.
Topic Description
Section titled “Topic Description”A high level description of the Topic that is assigned to the content, for example: New York; category: Location > City; Description: city in the United States or
Lion; category: Thing > Animal; Description: great cat.
Marfeel uses the Google NLP Entity Recognition API to analyze content and define its topic description.
Tags are virtual labels publishers can use to sort and classify articles by subject, theme, or any criteria that matters to them. This makes it easy to organize, search, filter and analyze articles depending on business needs. Visit our documentation to learn how to create tags.
Tag Group
Section titled “Tag Group”Tag groups are subtopics or subcategories within a broader tag category that add an extra layer of precision and granularity to content categorization. They appear as nested tags, such as contentType:infography or contentType:blogPost. Visit our documentation to learn how tag groups are configured.
For additional content attributes like author, section, and publish date, see the editorial dimensions reference.
To view a comprehensive list of all of Marfeel’s Metrics and Dimensions, visit our Glossary.
What are IAB categories in Marfeel Analytics?
IAB categories are a standardized taxonomy created by the Interactive Advertising Bureau to classify digital content into specific categories such as Technology, Health, or Sports. Marfeel provides three levels: top-level (tier-1) broad themes, down-level (tier-2) specific subcategories, and the full combined IAB category.
How does Marfeel identify article topics?
Marfeel uses the Google NLP Entity Recognition API to analyze content and identify topics. A topic is a specific, identifiable item within the text that holds distinct meaning and is broadly representative of the article’s theme. Topics are available in 11 languages including English, Spanish, French, German, and Japanese.
What is the difference between tags and tag groups?
Tags are virtual labels publishers use to sort and classify articles by subject, theme, or any custom criteria. Tag groups are subtopics or subcategories within a broader tag category that add an extra layer of precision, appearing as nested tags such as contentType:infography or contentType:blogPost. Learn how to configure tags and tag groups.