Basic Documents — Sector Fields
The sector fields reflect the economic sector to which the document corresponding to a given data row belongs, as determined by Bilby's classifier models. The class labels comprise the eleven sectors defined by the GICS classification standard, along with two additions: "Macro" and "Not Relevant".
| Field Name | Type | Example/Possible Values | Description |
|---|---|---|---|
sector_prediction | string[] (array of two strings) | Example: ["Energy", "Information Technology"] (possible values include Energy, Materials, Industrials, Consumer Discretionary, Consumer Staples, Health Care, Financials, Information Technology, Communication Services, Utilities, Real Estate, Macro, Not Relevant) | A list of length 2 containing top two sector prediction of the document. |
sector_probability_energy | number | 0 ≤ value ≤ 1 | The probability of the document being in the energy sector. |
sector_probability_materials | number | 0 ≤ value ≤ 1 | The probability of the document being in the materials sector. |
sector_probability_industrials | number | 0 ≤ value ≤ 1 | The probability of the document being in the industrials sector. |
sector_probability_consumer_discretionary | number | 0 ≤ value ≤ 1 | The probability of the document being in the consumer discretionary sector. |
sector_probability_consumer_staples | number | 0 ≤ value ≤ 1 | The probability of the document being in the consumer staples sector. |
sector_probability_health_care | number | 0 ≤ value ≤ 1 | The probability of the document being in the health care sector. |
sector_probability_financials | number | 0 ≤ value ≤ 1 | The probability of the document being in the financials sector. |
sector_probability_information_technology | number | 0 ≤ value ≤ 1 | The probability of the document being in the information technology sector. |
sector_probability_communication_services | number | 0 ≤ value ≤ 1 | The probability of the document being in the communication services sector. |
sector_probability_utilities | number | 0 ≤ value ≤ 1 | The probability of the document being in the utilities sector. |
sector_probability_real_estate | number | 0 ≤ value ≤ 1 | The probability of the document being in the real estate sector. |
sector_probability_macro | number | 0 ≤ value ≤ 1 | The probability of the document being in the macro sector. |
sector_probability_not_relevant | number | 0 ≤ value ≤ 1 | The probability of the document being in the not relevant sector. |
Note: As detailed in the above table, each of the thirteen fields of the
form sector_probability_<sector> (where <sector> ranges over the eleven GICS
sectors, plus the Macro and Not Relevant labels) represents a probability.
However, these probabilities are computed by thirteen independent binary
classification models. As a result, these thirteen fields will NOT sum to
1.0, in general, for any given data row.
sector_prediction
Definition: The two MSCI GICS sectors that are most relevant to the underlying document.
Possible values: Either:
- One of the eleven standard GICS sectors, namely
Energy,Materials,Industrials,Consumer Discretionary,Consumer Staples,Health Care,Financials,Information Technology,Communication Services,Utilities,Real Estate, or else; Macro— Relevant to the macroeconomy, or else;Not Relevant— Neither relevant to any GICS sector, nor relevant to the macroeconomy.
sector_probability_energy
Definition: The probability that the underlying document relates to the
energy sector.
Possible values: A float in the interval [0, 1] (i.e., between 0 and 1,
inclusive).
sector_probability_materials
Definition: The probability that the underlying document relates to the
materials sector.
Possible values: A float in the interval [0, 1] (i.e., between 0 and 1,
inclusive).
sector_probability_industrials
Definition: The probability that the underlying document relates to the
industrials sector.
Possible values: A float in the interval [0, 1] (i.e., between 0 and 1,
inclusive).
sector_probability_consumer_discretionary
Definition: The probability that the underlying document relates to the
consumer_discretionary sector.
Possible values: A float in the interval [0, 1] (i.e., between 0 and 1,
inclusive).
sector_probability_consumer_staples
Definition: The probability that the underlying document relates to the
consumer_staples sector.
Possible values: A float in the interval [0, 1] (i.e., between 0 and 1,
inclusive).
sector_probability_health_care
Definition: The probability that the underlying document relates to the
health_care sector.
Possible values: A float in the interval [0, 1] (i.e., between 0 and 1,
inclusive).
sector_probability_financials
Definition: The probability that the underlying document relates to the
financials sector.
Possible values: A float in the interval [0, 1] (i.e., between 0 and 1,
inclusive).
sector_probability_information_technology
Definition: The probability that the underlying document relates to the
information_technology sector.
Possible values: A float in the interval [0, 1] (i.e., between 0 and 1,
inclusive).
sector_probability_communication_services
Definition: The probability that the underlying document relates to the
communication_services sector.
Possible values: A float in the interval [0, 1] (i.e., between 0 and 1,
inclusive).
sector_probability_utilities
Definition: The probability that the underlying document relates to the
utilities sector.
Possible values: A float in the interval [0, 1] (i.e., between 0 and 1,
inclusive).
sector_probability_real_estate
Definition: The probability that the underlying document relates to the
real_estate sector.
Possible values: A float in the interval [0, 1] (i.e., between 0 and 1,
inclusive).
sector_probability_macro
Definition: The probability that the underlying document relates to the
macro sector.
Possible values: A float in the interval [0, 1] (i.e., between 0 and 1,
inclusive).
sector_probability_not_relevant
Definition: The probability that the underlying document is neither relevant
to any of the eleven GICS sectors, nor relevant to macro.
Possible values: A float in the interval [0, 1] (i.e., between 0 and 1,
inclusive).