RepositoryAnnotationsMustangSentimentSnippetAnnotations

AI Overview😉

  • The potential purpose of this module is to analyze and store sentiment information about a snippet of text, such as a phrase or sentence, within a larger document or webpage. This module appears to be part of a larger system that extracts and analyzes snippets of text to understand their meaning and sentiment.
  • This module could impact search results by influencing the ranking of pages based on the sentiment of the text they contain. For example, if a page contains a snippet of text with a strongly positive sentiment, it may be ranked higher in search results than a page with a neutral or negative sentiment. This could also affect the snippets of text that are displayed in search engine results pages (SERPs).
  • To be more favorable for this function, a website could focus on creating high-quality, engaging, and informative content that expresses a clear and positive sentiment. This could include using natural language processing (NLP) techniques to analyze and refine the tone and sentiment of their content. Additionally, websites could ensure that their content is well-structured and easily parseable, making it easier for the sentiment analysis module to extract and analyze relevant snippets of text.

Interesting Module? Vote 👇

Voting helps other researchers find interesting modules.

Current Votes: 2

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

A conceptual structure for storing sentiment snippet information in mustang. Essentially an adaptation of PhraseAnnotationProperties from //repository/annotations/proto/annotations.proto.

Attributes

  • deprecatedMagnitude (type: number(), default: nil) - Deprecated: use snippet_score instead
  • deprecatedPolarity (type: number(), default: nil) - Deprecated: use snippet_score instead
  • end (type: integer(), default: nil) -
  • isTruncated (type: boolean(), default: nil) -
  • phraseType (type: String.t, default: nil) -
  • snippetScore (type: integer(), default: nil) -
  • snippetText (type: String.t, default: nil) - This protobuffer is serving double duty as both a Mustang attachment and the response proto that gets returned by Mustang in the WWWSnippetResponse's info MessageSet. When stored as an attachment, this field will always be empty. However, when returned with the WWWSnippetResponse, Mustang will print and store the actual sentiment snippet's text here.
  • start (type: integer(), default: nil) - begin and end are token offsets.

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.RepositoryAnnotationsMustangSentimentSnippetAnnotations{
    deprecatedMagnitude: number() | nil,
    deprecatedPolarity: number() | nil,
    end: integer() | nil,
    isTruncated: boolean() | nil,
    phraseType: String.t() | nil,
    snippetScore: integer() | nil,
    snippetText: String.t() | nil,
    start: integer() | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.