Page Analysis
- ClaireT (Deactivated)
- Lane Schechter
Verity page analysis involves scanning and analyzing both text and prominent imagery on a web page. Verity returns a page analysis response that includes IAB contextual categories, keywords, sentiment evaluation, and brand safety scoring. Brand safety scoring includes an overall Safe/Unsafe flag, plus classifications for multiple threat categories defined by GumGum (including drugs, weapons, and sexual content).
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 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 format is JavaScript Object Notation (JSON) Content-Type: application/json; charset=UTF-8.
Check out an example page analysis response here.
Page Analysis Categories and Keywords
The following table summarizes the classifications and keywords that are returned during page analysis.
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