NlpSaftDocumentTopic

AI Overview😉

  • The potential purpose of this module is to identify and assign topics to a document, which can help Google understand the content and context of a webpage. This module appears to be part of Google's Natural Language Processing (NLP) capabilities.
  • This module could impact search results by influencing the relevance and ranking of a webpage for specific search queries. If a webpage is accurately assigned a topic, it may be more likely to appear in search results for related searches. Conversely, if the topic assignment is inaccurate, it may negatively impact the webpage's visibility.
  • To be more favorable for this function, a website could focus on creating high-quality, topic-specific content that is easily understandable by NLP algorithms. This may involve using clear and concise language, optimizing meta tags and titles, and structuring content in a logical and organized manner. Additionally, using schema markup and other semantic HTML elements can help Google better understand the context and topics of a webpage.

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

Document topic(s).

Attributes

  • name (type: String.t, default: nil) - Topic name or identifier.
  • score (type: number(), default: nil) - Topic score.

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.NlpSaftDocumentTopic{
  name: String.t() | 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.