RepositoryWebrefWebrefDocumentInfo

AI Overview😉

  • The potential purpose of this module is to extract and process the content of a document, specifically the sentences and their boundaries, to better understand the document's structure and meaning. This information can be used to improve search results by providing more accurate and relevant information to users.
  • This module could impact search results by allowing Google to better understand the context and content of a document, which can lead to more accurate ranking and retrieval of relevant results. It can also help to identify the most important sentences and keywords in a document, which can improve the quality of search results.
  • A website may change things to be more favorable for this function by ensuring that their content is well-structured and easy to parse, with clear sentence boundaries and relevant keywords. This can be achieved by using proper formatting, such as headings, paragraphs, and bullet points, and by using natural language processing techniques to identify and highlight important keywords and phrases.

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

All information that applies globally to the document. Next available tag: 11

Attributes

  • documentMetadata (type: GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefDocumentMetadata.t, default: nil) - Information about the document copied from the docjoin. This will never be populated when WebrefEntities appears inside a CompositeDoc, but may we used when it stands alone.
  • extensions (type: GoogleApi.ContentWarehouse.V1.Model.Proto2BridgeMessageSet.t, default: nil) - Optional extensions (e.g. taxonomic classifications).
  • webrefParsedContentSentence (type: list(String.t), default: nil) - The content (CONTENT section 0) as parsed by WebrefParser. Only used by //r/w/postprocessing/idf/idf-pipeline for document ngram idf computation. Populated when the annotator is run with webref_populate_parsed_content Each webref_parsed_content_sentence represents one sentence of the context where saft annotations were used to determine the sentence boundaries. See r/w/universal/processors/saft/saft-sentence-helper.h for details.

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.RepositoryWebrefWebrefDocumentInfo{
  documentMetadata:
    GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefDocumentMetadata.t()
    | nil,
  extensions:
    GoogleApi.ContentWarehouse.V1.Model.Proto2BridgeMessageSet.t() | nil,
  webrefParsedContentSentence: [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.