YoutubeCommentsSentimentSentimentEntitySentimentAnnotation

YouTube CommentsEntity Understanding

GoogleApi.ContentWarehouse.V1.Model.YoutubeCommentsSentimentSentimentEntitySentimentAnnotation

5
out of 10
Medium
SEO Impact
An entity level sentiment annotation containing the sentiment values aggregated over all mentions of an entity. Next tag: 7.

SEO Analysis

AI Generated

Part of Google's entity understanding system (WebRef). This system identifies and links entities—people, places, things, concepts—within web content to Google's Knowledge Graph. Entity recognition is fundamental to semantic search, helping Google understand content meaning beyond keywords and match it to relevant queries.

Actionable Insights for SEOs

  • Build topical authority through comprehensive, entity-focused content
  • Implement structured data to help Google understand entities on your pages
  • Create content that clearly establishes entity relationships

Attributes

6
Sort:|Filter:
entityNamestring
Default: nilFull type: String.t

The representative entity name. This can be blank for cases when there is no explicit name like "I" or "it". The mentions' tokens can be used to get more details about each entity.

magnitudenumber(
Default: nil

Total magnitude of the sentiment.

mentionSentimentYoutubeCommentsSentimentSentimentEntitySentimentAnnotationMentionSentimentAnnotation →
Default: nilFull type: list(GoogleApi.ContentWarehouse.V1.Model.YoutubeCommentsSentimentSentimentEntitySentimentAnnotationMentionSentimentAnnotation.t
midstring
Default: nilFull type: String.t

MID for this entity, if available.

polaritynumber(
Default: nil

Polarity of the sentiment. See above for detail.

scorenumber(
Default: nil

The per entity score between -1.0 and 1.0. Combines the signal from polarity and magnitude values.