Basic Documents — Importance Fields
Bilby measures the importance of the document underlying a data row on a scale
of 1 (very unimportant) to 5 (very important). This score is a function both
of the document's content, and the importance of the people or organisation that
published it.
| Field Name | Type | Example/Possible Values | Description |
|---|---|---|---|
importance_prediction | number | 1, 2, 3, 4, or 5 | The importance prediction of the underlying document. |
importance_probability_1 | number | 0 ≤ value ≤ 1 | The probability the underlying document has importance 1. |
importance_probability_2 | number | 0 ≤ value ≤ 1 | The probability the underlying document has importance 2. |
importance_probability_3 | number | 0 ≤ value ≤ 1 | The probability the underlying document has importance 3. |
importance_probability_4 | number | 0 ≤ value ≤ 1 | The probability the underlying document has importance 4. |
importance_probability_5 | number | 0 ≤ value ≤ 1 | The probability the underlying document has importance 5. |
importance_prediction
Definition: This measures the importance of the underlying document, ranging
from 1 (very unimportant) to 5 (very important). This importance is
determined both by the content of the document, and the importance of the people
or organisation that published it.
Possible values: One of the class labels 1, 2, 3, 4 or 5.
importance_probability_1
Definition: The probability that the underlying document has importance
score 1.
Possible values: A float in the interval [0, 1] (i.e., between 0 and 1,
inclusive).
importance_probability_2
Definition: The probability that the underlying document has importance
score 2.
Possible values: A float in the interval [0, 1] (i.e., between 0 and 1,
inclusive).
importance_probability_3
Definition: The probability that the underlying document has importance
score 3.
Possible values: A float in the interval [0, 1] (i.e., between 0 and 1,
inclusive).
importance_probability_4
Definition: The probability that the underlying document has importance
score 4.
Possible values: A float in the interval [0, 1] (i.e., between 0 and 1,
inclusive).
importance_probability_5
Definition: The probability that the underlying document has importance
score 5.
Possible values: A float in the interval [0, 1] (i.e., between 0 and 1,
inclusive).