NlpSaftRelation

AI Overview😉

  • The potential purpose of this module is to analyze the relationships between entities mentioned in a document, such as people, organizations, and locations. It identifies the relationships between these entities, such as "Person A is the CEO of Company B", and assigns a score to each relation based on its relevance and importance.
  • This module could impact search results by allowing Google to better understand the context and meaning of a webpage's content. By identifying the relationships between entities, Google can improve its ability to answer complex queries, such as "What is the name of the CEO of Company B?" or "What companies is Person A affiliated with?". This could lead to more accurate and relevant search results, especially for queries that require a deeper understanding of the relationships between entities.
  • To be more favorable for this function, a website could focus on creating high-quality, informative content that clearly establishes relationships between entities. This could include using structured data, such as schema.org markup, to explicitly define relationships between entities, as well as using natural language processing techniques to make the content more readable and understandable. Additionally, websites could focus on creating content that is more comprehensive and detailed, providing more context and information about the relationships between entities, which could help to improve the accuracy and relevance of the relation scores assigned by this module.

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

Relations between entities in the document. A relation is between two different entities in the document. A relation can have a number of mentions in the document. Next available id: 11

Attributes

  • identifier (type: GoogleApi.ContentWarehouse.V1.Model.NlpSaftIdentifier.t, default: nil) - External identifier for relation.
  • info (type: GoogleApi.ContentWarehouse.V1.Model.Proto2BridgeMessageSet.t, default: nil) - Application-specific information about this relation.
  • kind (type: String.t, default: nil) -
  • mention (type: list(GoogleApi.ContentWarehouse.V1.Model.NlpSaftRelationMention.t), default: nil) - Mentions of the relation in the document.
  • score (type: number(), default: nil) - Relation score.
  • source (type: integer(), default: nil) - Source and target entity indices. These are indices into the entity array in the document. If this is an attribute relation the target is the index of a measure in the document.
  • target (type: integer(), default: nil) -
  • type (type: String.t, default: nil) - Relation type.
  • typeId (type: integer(), default: nil) - Relation type id.

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.NlpSaftRelation{
  identifier: GoogleApi.ContentWarehouse.V1.Model.NlpSaftIdentifier.t() | nil,
  info: GoogleApi.ContentWarehouse.V1.Model.Proto2BridgeMessageSet.t() | nil,
  kind: String.t() | nil,
  mention:
    [GoogleApi.ContentWarehouse.V1.Model.NlpSaftRelationMention.t()] | nil,
  score: number() | nil,
  source: integer() | nil,
  target: integer() | nil,
  type: String.t() | nil,
  typeId: integer() | nil
}

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.