SentimentSentimentBehaviors

AI Overview😉

  • The potential purpose of this module is to analyze the sentiment and tone of a user's search query, specifically detecting the level of politeness expressed in the query. This helps Google's algorithm to determine how to respond to the user's query, potentially influencing the search results and the overall user experience.
  • This module could impact search results by influencing the ranking of pages that are more likely to provide a helpful and respectful response to the user's query. For example, if a user's query is phrased in a polite and respectful manner, the algorithm may prioritize results from websites that are known for providing helpful and courteous responses. Conversely, if a user's query is phrased in a rude or aggressive manner, the algorithm may demote results from websites that are less likely to provide a helpful response.
  • To be more favorable to this function, a website could focus on providing high-quality, respectful, and helpful content that addresses the user's query in a polite and courteous manner. This could include using natural language processing to detect and respond to user sentiment, as well as training customer support staff to respond to user inquiries in a respectful and helpful way. Additionally, websites could use sentiment analysis to identify and address any negative sentiment or feedback from users, which could help to improve the overall user experience and increase the website's ranking in search results.

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

The set of behavior signals that the user is expressing/demonstrating that is detected by the sentiment analysis. These signals are used to help assistant determine the proper response behavior. NEXT ID = 2

Attributes

  • politeness (type: number(), default: nil) - The degree to which the user is showing politeness.

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.SentimentSentimentBehaviors{
  politeness: number() | nil
}

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.