NlpSaftMorphology

AI Overview😉

  • The potential purpose of this module is to analyze the morphology of words (tokens) in search queries and web page content, which means it breaks down words into their grammatical components such as tense, case, and number. This helps Google understand the context and meaning of words in a search query and on a webpage, enabling more accurate search results.
  • This module could impact search results by allowing Google to better understand the nuances of language and context, which could lead to more relevant and accurate search results. For example, it could help distinguish between similar words with different meanings, or understand the intent behind a search query. This could also help Google to better handle searches with misspellings or grammatical errors.
  • A website may change things to be more favorable for this function by using clear and concise language, avoiding ambiguity and ensuring that the content is well-structured and easy to understand. Additionally, using header tags, bullet points, and other formatting techniques can help Google's algorithm to better understand the context and meaning of the content. Furthermore, using natural language and avoiding overly optimized or keyword-stuffed content can also help to improve the relevance and accuracy of search results.

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

Message that stores information about the morphology of a token.

Attributes

  • attrValue (type: list(String.t), default: nil) - A list of morphology attribute-value pairs.

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.NlpSaftMorphology{
  attrValue: [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.