Install
Download the Bot and follow the instructions to install it in your AAE Control Room.
Classify Text Using the IAB Taxonomy
Categorize text using the Interactive Advertising Bureau 2.0 taxonomy, the standard in the advertising industry.
Top Benefits
- Accurately describe the topical context of a piece of content
- The IAB Tech Lab Content Taxonomy Version 2.0 is a standard in the advertising industry
- Apply nearly 400 categories around general interests like Business, Literature, Fine Arts, Hobbies, Food, or Sports
- The predefined taxonomy avoids the need to configure or code
Tasks
- Monitor websites and understand in which standard content categories they fit
- Automatically tag content using standard categories in creation, editing and publishing processes
- Obtain the full analysis of the IAB 2.0 categorization
Describing content accurately and consistently is essential in multiple applications, from contextual ad targeting to audience characterization.
The Interactive Advertising Bureau (IAB) developed its Content Taxonomy to enable content creators to more accurately describe content, to facilitate more relevant advertising and to provide a higher quality and more granular foundation for data analysis.
Its use cases span from contextual targeting and brand safety measurement, to audience segmentation and categorization of advertiser product and service offerings.
This bot uses the MeaningCloud Deep Categorization API and its implementation of the enhanced IAB Content Taxonomy v2.0 to categorize a text according to nearly 400 categories in the taxonomy. MeaningCloud’s implementation of the IAB Taxonomy covers all 29 Tier 1 and all 341 Tier 2 categories.
The bot performs a multilevel categorization and can assign several categories to a given text, provided that the relevance of each of these is higher than a threshold parameter. It also returns the JSON with the complete analysis returned by the API.
Use this bot whenever your automated processes need to categorize content using a standard scheme, such as in media monitoring and content publishing scenarios.