Verity’s text analysis produces detailed 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).
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 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.Sentiments
Analyzes the overall opinions expressed within the text content, and classifies the percentage of positive, negative, and neutral sentiments.
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 |
---|---|---|
Violence | IAB v1.0 IAB v2.0 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 | Sentiment | ||
English | ✔ | ✔ | ✔ | ✔ |
Japanese | ✔ | ✔ | ||
French | ✔ | ✔ | ✔ | ✔ |
German | ✔ | ✔ | ✔ | ✔ |
Spanish | ✔ | ✔ | ✔ | ✔ |
Verity Response Format
The Verity API response format is JavaScript Object Notation (JSON) Content-Type: application/json; charset=UTF-8.