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Verity’s page analysis produces detailed contextual categories and brand safety scoring, which is aggregated into the following Verity page classification report 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.

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.

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 Categories and Keywords

Verity page analysis includes combined text and image classifications, and the top keywords detected on the page.

Brand Safety (Threat) Categories 

Contextual
Categories

Keywords

Violence
Illegal
Drugs
Sexual
Obscene
Hate
Disaster
Malware
Illness

IAB v1.0
372 categories

IAB v2.0
698 categories

Events  
~150 categories

Sentiment  
Positive, Neutral, Negative categories

Contextual targeting keywords
Named Entities  

Page Analysis Language Support

Verity keywords and categories  are supported in languages as specified in the following table.

Language

Keywords

Categories

Threat

IAB V1

IAB V2

Event

Sentiment

English

Japanese




Verity Response Format

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

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