NlpSemanticParsingModelsMediaNewsTopic

AI Overview😉

  • The potential purpose of this module is to identify and extract news-related topics from search queries, allowing Google to better understand the user's intent and provide more relevant search results. This module appears to be focused on media and news topics, and can identify specific entities such as countries (e.g. "Ukraine") mentioned in the query.
  • This module could impact search results by allowing Google to prioritize news articles and websites that are most relevant to the user's query. For example, if a user searches for "read me news about Ukraine", this module could help Google to identify the most relevant news sources and articles related to Ukraine, and rank them higher in the search results. This could lead to more accurate and relevant search results for users searching for news-related topics.
  • To be more favorable for this function, a website could optimize its content by including clear and concise topic headings, using relevant keywords and entities (e.g. "Ukraine") in their article titles and summaries, and structuring their content in a way that makes it easy for Google to identify the main topic and relevance of the article. Additionally, websites could focus on creating high-quality, timely, and relevant news content that is likely to be of interest to users searching for news on specific topics.

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

Example: "ukraine" in a query like "read me news about Ukraine"

Attributes

  • evalData (type: GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingAnnotationEvalData.t, default: nil) - Required, but should only be used inside Aqua and must not be used by outside clients!!
  • rawText (type: String.t, default: nil) -

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.NlpSemanticParsingModelsMediaNewsTopic{
    evalData:
      GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingAnnotationEvalData.t()
      | nil,
    rawText: 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.