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Verity’s text analysis produces detailed IAB contextual categories and brand safety scoring. Verity text analysis works by applying Natural Language Processing (NLP) to a text string (up to a maximum of 20,000 characters).

Text Analysis Response

The text data is aggregated into the following Verity text classification report sections:

  • IAB Categories
    Identifies and scores contextual targeting categories. Includes standard IAB 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 GARM’s Brand Safety Floor & Suitability Framework. 

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

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

Text Analysis Categories and Keywords

Verity text analysis includes text classifications, and the top keywords detected in the text string.

Brand Safety (Threat) Categories 

Contextual
Categories

Keywords

Violence
Illegal
Drugs
Sexual
Obscene
Hate
Disaster
Malware
Illness

IAB v2.0

IAB v3.0

Sentiment  
Positive, Neutral, Negative categories

Contextual targeting keywords

  • No labels

The contents of these documents and any attachments contain GumGum, Inc. confidential information and are legally protected from disclosure.