Page Comparison

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 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 GARM’s Brand Safety Floor & Suitability Framework. 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.

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 detected returned during page analysis.

Page Analysis Language Support

Verity classification categories and keywords are supported in the languages specified in the following table:

Language

Keywords

Categories

Threat

IAB V2

IAB V1

Event

Sentiment

English

✔

✔

✔

✔

✔

✔

Japanese

✔

✔

✔

Response Format

Related Articles