YoutubeCommentsSentimentSentiment

YouTube CommentsContent Analysis

GoogleApi.ContentWarehouse.V1.Model.YoutubeCommentsSentimentSentiment

4
out of 10
Low
SEO Impact
Sentiment information extracted from the annotated content by Goldmine. This mirrors nlp_sentiment.SentimentAnnotation. Next tag: 5.

SEO Analysis

AI Generated

Related to video content processing and YouTube integration. Video content appears in universal search results, video carousels, and YouTube search. This model processes video signals that determine how video content is ranked and displayed in both web search and YouTube search results.

Actionable Insights for SEOs

  • Understanding this model helps SEOs grasp Google's internal data architecture
  • Consider how this system might interact with other ranking signals

Attributes

4
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entitySentimentYoutubeCommentsSentimentSentimentEntitySentimentAnnotation →
Default: nilFull type: list(GoogleApi.ContentWarehouse.V1.Model.YoutubeCommentsSentimentSentimentEntitySentimentAnnotation.t
magnitudenumber(
Default: nil

Total magnitude of the sentiment. A positive number representing the total intensity of sentiment regardless of positive vs negative polarity.

polaritynumber(
Default: nil

Polarity of the sentiment. Value is between -1.0 and 1.0 inclusive, with larger numbers representing more positive sentiment and negative numbers representing negative sentiment.

scorenumber(
Default: nil

The average score over sentences. This combines the polarity and magnitude signals into one value. Bounded between -1.0 and 1.0.