VideoTimedtextS4ALIResults

AI Overview😉

  • The potential purpose of this module is to analyze and understand the language and speech patterns within video content, specifically timed text or subtitles. It appears to detect the language spoken and the type of speech (e.g., lecture, conversation, etc.).
  • This module could impact search results by allowing Google to better understand the content of videos and provide more accurate and relevant results for users searching for specific topics or languages. It may also enable features like language filtering or speech pattern-based search refinement.
  • To be more favorable for this function, a website may focus on providing high-quality, accurately timed subtitles or transcripts for their video content. They may also ensure that their video metadata, such as titles and descriptions, accurately reflect the language and speech patterns within the content. Additionally, optimizing video content for specific speech patterns or languages may improve its visibility in search results.

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GoogleApi.ContentWarehouse.V1.Model.VideoTimedtextS4ALIResults (google_api_content_warehouse v0.4.0)

Attributes

  • langResults (type: list(GoogleApi.ContentWarehouse.V1.Model.VideoTimedtextS4LangScore.t), default: nil) - The complete list of language scores, sorted from high score to low.
  • speechClass (type: String.t, default: nil) - What kind of speech (if any) was detected.

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.VideoTimedtextS4ALIResults{
  langResults:
    [GoogleApi.ContentWarehouse.V1.Model.VideoTimedtextS4LangScore.t()] | nil,
  speechClass: 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.