GoodocLabel

AI Overview😉

  • The potential purpose of this module is to analyze and understand the structure and content of a webpage by identifying and labeling various elements such as links, breaks, characters, languages, and semantic meaning. This helps Google's algorithm to better comprehend the page's content and relevance.
  • This module could impact search results by influencing how Google ranks pages based on their content and structure. For example, a page with clear and accurate language labels may be considered more relevant for a specific search query, while a page with poorly structured content may be demoted in search results.
  • To be more favorable for this function, a website could:
    • Use clear and descriptive anchor text for links
    • Organize content with proper headings and breaks
    • Use language-specific meta tags and content to help identify the dominant language
    • Use semantic HTML to provide a clear structure and meaning to page elements
    • Ensure accurate and consistent character encoding

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GoogleApi.ContentWarehouse.V1.Model.GoodocLabel (google_api_content_warehouse v0.4.0)

Label aggregates all kinds of optional characteristics of page elements.

Attributes

  • AnchorLabel (type: list(GoogleApi.ContentWarehouse.V1.Model.GoodocAnchorLabel.t), default: nil) - AnchorLabel identifies a link target.
  • BreakLabel (type: GoogleApi.ContentWarehouse.V1.Model.GoodocBreakLabel.t, default: nil) -
  • CharLabel (type: GoogleApi.ContentWarehouse.V1.Model.GoodocCharLabel.t, default: nil) - CharLabel is specifically intended for symbols
  • LanguageLabel (type: list(GoogleApi.ContentWarehouse.V1.Model.GoodocLanguageLabel.t), default: nil) - Languages used in the element (page, block, paragraph or word). Ordered by dominant-language first. Note: content scanjobs processed by the garbage_text_detector before CL 9223538 (Dec. 2008) have LanguageLabels in arbitrary order (within Page and Block elements) -- the confidence value should be inspected to find the dominant language guess for these, rather than just taking the first.
  • SemanticLabel (type: GoogleApi.ContentWarehouse.V1.Model.GoodocSemanticLabel.t, default: nil) - SemanticLabel is defined in goodoc-semantics.proto, it allows rich annotation of content, identifying the nature of page elements.

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

Link to this type

t()

@type t() :: %GoogleApi.ContentWarehouse.V1.Model.GoodocLabel{
  AnchorLabel:
    [GoogleApi.ContentWarehouse.V1.Model.GoodocAnchorLabel.t()] | nil,
  BreakLabel: GoogleApi.ContentWarehouse.V1.Model.GoodocBreakLabel.t() | nil,
  CharLabel: GoogleApi.ContentWarehouse.V1.Model.GoodocCharLabel.t() | nil,
  LanguageLabel:
    [GoogleApi.ContentWarehouse.V1.Model.GoodocLanguageLabel.t()] | nil,
  SemanticLabel:
    GoogleApi.ContentWarehouse.V1.Model.GoodocSemanticLabel.t() | nil
}

Functions

Link to this function

decode(value, options)

@spec decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.