NlpMeaningMeaningRemodeling

AI Overview😉

  • The potential purpose of this module is to analyze and remodel the meaning of natural language processing (NLP) data, specifically in the context of schema changes. It appears to be tracking changes to the schema, including deletions, and assigning unique IDs to each remodeling.
  • This module could impact search results by influencing how Google understands the meaning and relationships between entities, concepts, and keywords. It may affect the ranking of pages that have undergone significant schema changes, and potentially prioritize pages with more up-to-date or accurate schema information.
  • To be more favorable for this function, a website could ensure that its schema data is accurate, up-to-date, and well-structured. This might involve regularly auditing and updating schema markup, using clear and consistent naming conventions, and providing explicit relationships between entities and concepts. Additionally, using standardized vocabulary and ontologies could help Google's NLP algorithms better understand the website's content and schema.

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

Attributes

  • deletion (type: boolean(), default: nil) - This field can be set to true to indicate that the associated part of the schema is being deleted as part of the remodeling.
  • id (type: String.t, default: nil) - The remodeling ID. Each remodeling has a unique ID that is used to associate changes with that remodeling.

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.NlpMeaningMeaningRemodeling{
  deletion: boolean() | nil,
  id: 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.