AttentionalEntitiesSurfaceForm

AI Overview😉

  • The potential purpose of this module is to identify and analyze the different ways an entity (e.g. person, organization, location) is mentioned or referred to in a piece of text, such as a search query or webpage content. This includes variations in naming conventions, pronouns, and other surface-level representations.
  • This module could impact search results by allowing Google to better understand the context and meaning of search queries and webpage content, and to return more accurate and relevant results. For example, if a user searches for "President Barack Obama", the module could help Google understand that "Barack Obama" or "he" are referring to the same entity, and return results that are more relevant to the user's query.
  • A website may change things to be more favorable for this function by using clear and consistent naming conventions for entities, providing alternative names or pronouns for entities, and using structured data (e.g. schema.org) to provide additional context about the entities mentioned on the webpage. This could help Google's algorithm better understand the content and return more accurate search results.

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

How the entity was presented in this mention at a surface level. For example, "President Barack Obama" or "Barack Obama" or "he" might all be reasonable surface forms for the MID /m/02mjmr.

Attributes

  • text (type: String.t, default: nil) -

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.AttentionalEntitiesSurfaceForm{
  text: String.t() | nil
}

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.