Text Classification IAB Taxonomy, API is a way for you to classify your content in terms of the IAB taxonomy. It can be used to identify the type of content you are creating and thus make it more useful for your target audience. This API is a great tool that can help you classify your content. This will help you identify what type of content you are creating and thus make it more useful for your target audience. So, keep ReadinEverything You Need To Know About Text Classification IAB Taxonomy API!, we will share some basics about taxonomy with you and about Text Classification IAB Taxonomy,
Classification of traits with a common taxonomy
Besides sharing IAB Tech Lab’s Content Taxonomy API, on Everything You Need To Know About Text Classification IAB Taxonomy API! we want to provide an overview of classifying features with a common taxonomy.
IAB Tech Lab’s Content Taxonomy is an API that classifies traits using consistent, logical, and commonly understood naming conventions. Besides, it works at the platform level to help ensure naming consistency across the IAB Tech Lab’s Content Taxonomy ecosystem. Finally, the common taxonomy is designed to bring our product into good alignment with industry standards for consumer privacy and opt-out processes.
Advantages of trait classification
Enabling our clients to create custom segments and data models is core to the IAB Tech Lab’s Content Taxonomy model and their ability to capture value from our platform. What is also needed, however, is a robust and scalable means of communicating segment information to your customers and partners. Furthermore, this communication requires that segment information be shared in an easy-to-understand and universally understood language while protecting its proprietary features and segment names. The IAB Tech Lab’s Content Taxonomy common taxonomy provides this language and capability.
Taxonomy uses industry-standard classification categories
So, the common taxonomy is based on classifications created by the Interactive Advertising Bureau (IAB). See the IAB website for more information on QA guidelines for networks and exchanges.
The IAB Tech Lab’s Content Taxonomy taxonomy organizes data into nested categories called levels. Each category can contain up to 3 separate levels for data classification. At the highest level, a Level 1 category groups data in its most general form (for example, geography). Later levels provide good specificity to the higher-level general category (eg geography —> United States —> New York). However, not all categories have 3 levels, some use only 2.
Classification of characteristics in data categories
Taxonomic classifications are assigned when creating or editing features in the Add New Trait Wizard (located at * Audience Data > Traits*). See the documentation on creating features for more information.
Taxonomy Usage: Additional Considerations
If you decide to classify traits according to our common taxonomy, it is important to remember:
1. Classification is optional.
2. Traits are not assigned to a taxonomic category by default (ie traits are not classified as “unknown” or “uncategorized”, etc.).
3. Traits can only belong to taxonomic category one (multiple and cross-category classifications are not allowed).
Everything You Need To Know About Text Classification IAB Taxonomy API! Check Text Classification IAB Taxonomy
So, the Content Taxonomy has evolved over time to provide publishers with a consistent and easy way to organize their website content. For example, to differentiate “sports” vs. “news” vs. “wellness” material. Text Classification IAB Taxonomy, specification provides additional utility for minimizing the risk that content categorization signals could generate sensitive data points about some things. Some examples are race, politics, religion, or other personal characteristics that could result in discrimination.
If you want to know more about this API we recommend…
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