VideoContentSearchCaptionEntityAnchorSetFeatures

VideoLink Signal

GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchCaptionEntityAnchorSetFeatures

9
out of 10
Critical
SEO Impact
Features and debug info for clusters of caption entity video anchors.

SEO Analysis

AI Generated

Related to anchor text analysis and link signal processing. Anchor text—the clickable text in hyperlinks—has been a fundamental ranking signal since Google's inception. This model processes how link text is analyzed, stored, and weighted, affecting how Google understands what a page is about based on how other sites link to it.

Actionable Insights for SEOs

  • Monitor for changes in rankings that may correlate with updates to this system
  • Consider how your content strategy aligns with what this signal evaluates
  • Audit your backlink profile for anchor text diversity and relevance
  • Ensure internal linking uses descriptive, relevant anchor text
  • Monitor for unnatural link patterns that could trigger penalties

Attributes

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aggregateScorenumber(
Default: nil

The total score used for filtering and selecting entity sets.

clusterSizeinteger(
Default: nil

The prefiltered size of the entity set.

entitiesInWebrefEntitiesinteger(
Default: nil

The number of entities in the anchor set that are in the webref entities.

entityMentionInDescriptionCountboolean(
Default: nil

The number of anchors where the entity mention text appears in the description of the video.

groupCohesionnumber(
Default: nil

The average cosine similarity between hypernyms of members of the set.

hypernymstring
Default: nilFull type: String.t

The most prominent hypernym across the entities in the set.

hypernymSaliencenumber(
Default: nil

The salience of the best hypernym for the set.

medianMentionsinteger(
Default: nil

Median number of times any member of the set was mentioned in the ASR transcript.

mentionSaliencenumber(
Default: nil

Mentions divided by the total number of entity mentions in the video.

saliencenumber(
Default: nil

Salience of the set computed by aggregating the hypernyms from each member and calculating the cosine similarity with the salient terms.

topHypernymstring
Default: nilFull type: list(String.t

The top N hypernyms for the entities in the set.

totalMentionsinteger(
Default: nil

Number of times any member of the group was mentioned in the ASR transcript.