VideoContentSearchNamedEntity

AI Overview😉

  • The potential purpose of this module is to identify and extract specific named entities from video content, such as people, organizations, or locations, and associate them with a particular type or category. This allows for more accurate and relevant search results.
  • This module could impact search results by providing more precise and contextual information about the content of a video. For example, if a user searches for a specific person or organization, the search results may prioritize videos that feature that entity prominently. This could also lead to more accurate auto-complete suggestions and related search queries.
  • To be more favorable for this function, a website may focus on providing clear and accurate metadata about the entities featured in their video content, such as including relevant keywords in the video title, description, and tags. They may also consider using schema markup to explicitly identify and categorize named entities within the video content. Additionally, ensuring that the video content is high-quality, relevant, and engaging could also improve its visibility in search results.

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

Message for SAFT named entities.

Attributes

  • entityType (type: String.t, default: nil) - Type name: e.g. /saft/person for a person's name.
  • text (type: String.t, default: nil) - Text referring to an entity of type entity_type;

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.VideoContentSearchNamedEntity{
  entityType: String.t() | nil,
  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.