NlpSemanticParsingSaftSpan

AI Overview😉

  • The potential purpose of this module is to identify and categorize specific parts of a search query, such as entities, measures, or syntactic components, to better understand the search intent and provide more accurate results.
  • This module could impact search results by allowing Google to more precisely identify the context and meaning of a search query, leading to more relevant and accurate results. For example, if a user searches for "best restaurants in New York City", this module could help Google identify "New York City" as a location and "best restaurants" as a category, providing more targeted results.
  • To be more favorable for this function, a website could optimize its content by using clear and concise language, providing explicit categorization and tagging of content, and using schema markup to help Google understand the context and meaning of the content. Additionally, using natural language and long-tail keywords in content could also help this module better understand the search intent and provide more accurate results.

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

The lowest common denominator of a SAFT annotation is simply the definition of some |category| for a sub-span of the |raw_text| of the query.

Attributes

  • category (type: String.t, default: nil) - Categories can be either syntactic (NNS for fine-grained-POS) or semantics ($Mass for measures).
  • rawText (type: String.t, default: nil) - The substring of the raw query spanned by this annotation.

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.NlpSemanticParsingSaftSpan{
  category: String.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.