How Page Analysis Works

Verity page analysis works by extracting metadata and significant content from a page, then applying computer vision (CV) and natural language processing (NLP) to the extracted data. For detailed information about Verity technology and processing, refer to the Verity Description of Methodology.

Note: Verity does not download or analyze the CSS, JavaScript, navigation, footer, sidebars, third-party ads, user-generated content, or other areas extraneous to the main textual content of the page. 

Page Analysis Response

The Verity page analysis response is aggregated into the following sections:

• IAB Categories
  Identifies and scores contextual targeting categories. Includes standard IAB v1.0 and IAB v2.0 categories.

• Keywords
  Extracts and scores page keywords according to prominence.

• Brand Safety
  Identifies and scores brand safety threats according to GumGum's Threat classification taxonomy, in compliance with The 4A’s Advertising Assurance Brand Safety Floor. 

• Event Categories 
  Identifies Events according to GumGum's Event classification taxonomy. There are Event categories for major seasonal events such as holidays or the sporting events.

• Sentiments  
  Analyzes the overall opinions expressed within the content of a page, and classifies the percentage of positive, negative, and neutral sentiments.

Page Analysis Categories and Keywords

The following table summarizes the classifications and keywords that are detected during page analysis.

Page Analysis Language Support

Verity classification categories and keywords are supported in the languages specified in the following table:

Verity Response Format

The Verity API response format is JavaScript Object Notation (JSON)  Content-Type: application/json; charset=UTF-8.