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Verity’s text analysis produces detailed IAB v2 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). |
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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 v2.0 categories.Keywords
Extracts and scores text 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 GARM’s Brand Safety Floor & Suitability Framework.Sentiments
Analyzes the overall opinions expressed within the text 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 | Keywords |
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Violence |
372 categoriesIAB v2
Sentiment | Contextual targeting keywords |
Text Analysis Language Support
Verity keywords and categories are supported in languages as specified in the following table.
...
Language
...
Keywords
...
Categories
...
Threat
...
IAB V2
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Sentiment
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English
...
✔
...
✔
...
✔
...
✔
...
Japanese
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✔
...
✔
Verity Response Format
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