VideoContentSearchCaptionEntityAnchorSetFeatures

AI Overview😉

  • The potential purpose of this module is to analyze and rank video content based on the relevance and coherence of entities mentioned in the video's captions. It appears to evaluate the importance of specific entities, their relationships, and how they are mentioned throughout the video.
  • This module could impact search results by promoting videos that have more cohesive and relevant entity mentions in their captions. This could lead to more accurate and informative search results, especially for users searching for specific topics or entities. It may also help to demote videos with irrelevant or misleading captions.
  • A website may change things to be more favorable for this function by ensuring that their video captions accurately and concisely mention relevant entities, and that these entities are consistently referred to throughout the video. They may also want to focus on creating high-quality, informative content that showcases expertise and relevance to the topic at hand. Additionally, using clear and concise language in the video's description and metadata could also help to improve the video's ranking.

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

Features and debug info for clusters of caption entity video anchors.

Attributes

  • aggregateScore (type: number(), default: nil) - The total score used for filtering and selecting entity sets.
  • clusterSize (type: integer(), default: nil) - The prefiltered size of the entity set.
  • entitiesInWebrefEntities (type: integer(), default: nil) - The number of entities in the anchor set that are in the webref entities.
  • entityMentionInDescriptionCount (type: boolean(), default: nil) - The number of anchors where the entity mention text appears in the description of the video.
  • groupCohesion (type: number(), default: nil) - The average cosine similarity between hypernyms of members of the set.
  • hypernym (type: String.t, default: nil) - The most prominent hypernym across the entities in the set.
  • hypernymSalience (type: number(), default: nil) - The salience of the best hypernym for the set.
  • medianMentions (type: integer(), default: nil) - Median number of times any member of the set was mentioned in the ASR transcript.
  • mentionSalience (type: number(), default: nil) - Mentions divided by the total number of entity mentions in the video.
  • salience (type: number(), default: nil) - Salience of the set computed by aggregating the hypernyms from each member and calculating the cosine similarity with the salient terms.
  • topHypernym (type: list(String.t), default: nil) - The top N hypernyms for the entities in the set.
  • totalMentions (type: integer(), default: nil) - Number of times any member of the group was mentioned in the ASR transcript.

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.VideoContentSearchCaptionEntityAnchorSetFeatures{
    aggregateScore: number() | nil,
    clusterSize: integer() | nil,
    entitiesInWebrefEntities: integer() | nil,
    entityMentionInDescriptionCount: boolean() | nil,
    groupCohesion: number() | nil,
    hypernym: String.t() | nil,
    hypernymSalience: number() | nil,
    medianMentions: integer() | nil,
    mentionSalience: number() | nil,
    salience: number() | nil,
    topHypernym: [String.t()] | nil,
    totalMentions: integer() | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.