YoutubeCommentsSentimentSentiment

AI Overview😉

  • The potential purpose of this module is to analyze and understand the sentiment of YouTube comments, determining whether they are positive, negative, or neutral. This helps Google to gauge the overall opinion or feeling about a particular video or topic.
  • This module could impact search results by influencing the ranking of videos based on the sentiment of their comments. For example, videos with predominantly positive comments may be considered more relevant or useful, and therefore ranked higher in search results. Conversely, videos with largely negative comments may be demoted in search results.
  • To be more favorable for this function, a website or YouTube creator could focus on encouraging high-quality, engaging, and respectful comments on their videos. This could include responding to comments, asking questions, and fostering a positive community. Additionally, creating content that resonates with the audience and sparks meaningful discussions could lead to more positive sentiment in comments, which may in turn improve the video's search ranking.

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

Sentiment information extracted from the annotated content by Goldmine. This mirrors nlp_sentiment.SentimentAnnotation. Next tag: 5.

Attributes

  • entitySentiment (type: list(GoogleApi.ContentWarehouse.V1.Model.YoutubeCommentsSentimentSentimentEntitySentimentAnnotation.t), default: nil) -
  • magnitude (type: number(), default: nil) - Total magnitude of the sentiment. A positive number representing the total intensity of sentiment regardless of positive vs negative polarity.
  • polarity (type: number(), 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.
  • score (type: number(), default: nil) - The average score over sentences. This combines the polarity and magnitude signals into one value. Bounded between -1.0 and 1.0.

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.YoutubeCommentsSentimentSentiment{
  entitySentiment:
    [
      GoogleApi.ContentWarehouse.V1.Model.YoutubeCommentsSentimentSentimentEntitySentimentAnnotation.t()
    ]
    | nil,
  magnitude: number() | nil,
  polarity: number() | nil,
  score: number() | nil
}

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.