YoutubeCommentsSentimentSentimentEntitySentimentAnnotation

AI Overview😉

  • The potential purpose of this module is to analyze the sentiment of YouTube comments about specific entities (people, organizations, etc.) and assign a sentiment score to each entity based on the aggregated sentiment of the comments mentioning them.
  • This module could impact search results by influencing the ranking of videos or websites that mention certain entities. For example, if an entity is consistently mentioned with negative sentiment in YouTube comments, a website that mentions that entity in a positive light may be penalized in search results. Conversely, a website that aligns with the prevailing sentiment of the comments may be rewarded with a higher ranking.
  • To be more favorable to this function, a website could focus on creating high-quality, engaging content that generates positive sentiment in YouTube comments. This could involve creating content that is informative, entertaining, or thought-provoking, and encouraging users to engage with the content in a way that generates positive comments. Additionally, websites could ensure that they are accurately and fairly representing entities mentioned in their content, and avoid perpetuating negative stereotypes or biases.

Interesting Module? Vote 👇

Voting helps other researchers find interesting modules.

Current Votes: 0

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

An entity level sentiment annotation containing the sentiment values aggregated over all mentions of an entity. Next tag: 7.

Attributes

  • entityName (type: String.t, default: nil) - 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.
  • magnitude (type: number(), default: nil) - Total magnitude of the sentiment.
  • mentionSentiment (type: list(GoogleApi.ContentWarehouse.V1.Model.YoutubeCommentsSentimentSentimentEntitySentimentAnnotationMentionSentimentAnnotation.t), default: nil) -
  • mid (type: String.t, default: nil) - MID for this entity, if available.
  • polarity (type: number(), default: nil) - Polarity of the sentiment. See above for detail.
  • score (type: number(), default: nil) - The per entity score between -1.0 and 1.0. Combines the signal from polarity and magnitude values.

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.YoutubeCommentsSentimentSentimentEntitySentimentAnnotation{
    entityName: String.t() | nil,
    magnitude: number() | nil,
    mentionSentiment:
      [
        GoogleApi.ContentWarehouse.V1.Model.YoutubeCommentsSentimentSentimentEntitySentimentAnnotationMentionSentimentAnnotation.t()
      ]
      | nil,
    mid: String.t() | 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.