YoutubeCommentsSentimentSentimentEntitySentimentAnnotationMentionSentimentAnnotation

AI Overview😉

  • The potential purpose of this module is to analyze the sentiment of YouTube comments, specifically identifying the sentiment towards a particular entity (e.g. a person, organization, or product) mentioned in the comment. This helps Google understand the emotional tone and opinion of users towards specific entities.
  • This module could impact search results by influencing the ranking of videos or websites that are mentioned in YouTube comments. If a video or website is consistently mentioned in comments with a positive sentiment, it may be considered more relevant or trustworthy by Google, potentially boosting its search ranking. Conversely, a negative sentiment towards an entity may lead to a decrease in its search ranking.
  • To be more favorable for this function, a website may: Encourage users to leave comments on YouTube videos that mention their brand or entity in a positive light. Respond to negative comments in a constructive manner, potentially turning negative sentiment into positive. Focus on creating high-quality content that resonates with users, leading to more positive mentions and sentiment in YouTube comments.

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

A mention level sentiment annotation containing the sentiment values for a single entity mention. // Next tag: 6.

Attributes

  • endToken (type: String.t, default: nil) - Token end index in corresponding SAFT document (inclusive).
  • magnitude (type: number(), default: nil) - Total magnitude of the sentiment.
  • polarity (type: number(), default: nil) - Polarity of the sentiment. See above for detail.
  • score (type: number(), default: nil) - The per mention score between -1.0 and 1.0. Combines the signal from polarity and magnitude values.
  • startToken (type: String.t, default: nil) - Token start index in corresponding SAFT document.

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.YoutubeCommentsSentimentSentimentEntitySentimentAnnotationMentionSentimentAnnotation{
    endToken: String.t() | nil,
    magnitude: number() | nil,
    polarity: number() | nil,
    score: number() | nil,
    startToken: String.t() | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.