QualitySalientTermsSignalTermData

Quality SalientQuality Signal

GoogleApi.ContentWarehouse.V1.Model.QualitySalientTermsSignalTermData

10
out of 10
Critical
SEO Impact
SignalTermData is signal-specific term-level information. Stores mostly internal data as it is one of the primary data structures used in the populators.

SEO Analysis

AI Generated

This model (Quality Salient Terms Signal Term Data) contains 15 attributes that define its data structure. Key functionality includes: The deduction of bigram counts from its unigram children. This field is only available in debug mode.

Actionable Insights for SEOs

  • Monitor for changes in rankings that may correlate with updates to this system
  • Consider how your content strategy aligns with what this signal evaluates

Attributes

15
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bigramDiscountTfnumber(
Default: nil

The deduction of bigram counts from its unigram children. This field is only available in debug mode.

bigramnessnumber(
Default: nil

How much we trust this bigram. For bigrams only. Range: [0.0, 1.0] This field is only available in debug mode.

centralitynumber(
Default: nil

Measures how topical this term is to a particular signal. A term like "lincoln" in the Abraham Lincoln's Wikipedia page should have a centrality close to 1.0 while non-central terms like "florida" should have a centrality close to 0.0. Range: [0.0, 1.0] This field is only available in debug mode.

correctedTfnumber(
Default: nil

The final term frequency for a particular term. This field is only available in debug mode.

expectedTfnumber(
Default: nil

The term frequency we were expecting for a term given its IDF. Range: [0, observed_volume] This field is only available in debug mode.

globalNpminumber(
Default: nil

Global NPMI. For bigrams only. This is a measure of the quality of bigrams calculated using IDF. Range: [-1.0, 1.0] This field is only available in debug mode.

idfnumber(
Default: nil

The IDF of the label of a particular term. For a canonical term, this is the mean IDF of its originals, weighted by their observed TF. This field is only available in debug mode.

isBigramboolean(
Default: nil

Whether or not this term is a bigram. This field is only available in debug mode.

labelstring
Default: nilFull type: String.t

Raw string that identifies a particular term. This field is only available in debug mode.

localNpminumber(
Default: nil

Local NPMI (normalized pointwise mutual information). For bigrams only. This is a measure of the quality of bigrams calculated using observed TF. Range: [-1.0, 1.0] This field is only available in debug mode.

observedTfnumber(
Default: nil

The observed term frequency in a particular signal. This field is only available in debug mode.

originalTermQualitySalientTermsSignalTermData →
Default: nilFull type: list(GoogleApi.ContentWarehouse.V1.Model.QualitySalientTermsSignalTermData.t

The list of the original terms for a canonical. This is used in the pipeline and it is not present in the final output. This field is only available in debug mode.

rawTfnumber(
Default: nil

The raw term frequency in a particular signal. This field is only available in debug mode.

saliencenumber(
Default: nil

The measure of how important this term is in this signal. Range: [0.0, 1.0] This field is only available in debug mode.

sourcestring
Default: nilFull type: String.t

source is the type of the signal of this SignalTermData.