label_bios
Categorize people into fields of occupation using their bios (biographies).
The categorization is performed using a predefined lookup-table matching certain keywords with associated fields of occupation. E.g. bios will be categorized as “journalists” if their texts contain any of the following words: “periodista”, “journalist”, “journalism”, “periodismo”, “news”, “noticia”, “noticias”.
Possible categories currently are:
- journalists
- business
- developers
- marketing
- travel
- photography
- university
- seo
- blogging
- sports
- politics
- social sciences
- medical
- entertainment
- art design
- economics
- videogames.
Usage
The following example shows how the step can be used in a recipe.
Examples
Examples
This step has no configuration parameters, so simply use
This step has no configuration parameters, so simply use
General syntax for using the step in a recipe. Shows the inputs and outputs the step is expected to receive and will produce respectively. For futher details see sections below.
Inputs & Outputs
The following are the inputs expected by the step and the outputs it produces. These are generally
columns (ds.first_name), datasets (ds or ds[["first_name", "last_name"]]) or models (referenced
by name e.g. "churn-clf").
Inputs
Inputs
A column containing biographies (e.g. from social network profiles).
Outputs
Outputs
A column containing one or more fields of occupation for each bio.
Configuration
The following parameters can be used to configure the behaviour of the step by including them in
a json object as the last “input” to the step, i.e. step(..., {"param": "value", ...}) -> (output).
Parameters
Parameters
This step doesn’t expect any configuration.
label_bios
Categorize people into fields of occupation using their bios (biographies).
The categorization is performed using a predefined lookup-table matching certain keywords with associated fields of occupation. E.g. bios will be categorized as “journalists” if their texts contain any of the following words: “periodista”, “journalist”, “journalism”, “periodismo”, “news”, “noticia”, “noticias”.
Possible categories currently are:
- journalists
- business
- developers
- marketing
- travel
- photography
- university
- seo
- blogging
- sports
- politics
- social sciences
- medical
- entertainment
- art design
- economics
- videogames.
Usage
The following example shows how the step can be used in a recipe.
Examples
Examples
This step has no configuration parameters, so simply use
This step has no configuration parameters, so simply use
General syntax for using the step in a recipe. Shows the inputs and outputs the step is expected to receive and will produce respectively. For futher details see sections below.
Inputs & Outputs
The following are the inputs expected by the step and the outputs it produces. These are generally
columns (ds.first_name), datasets (ds or ds[["first_name", "last_name"]]) or models (referenced
by name e.g. "churn-clf").
Inputs
Inputs
A column containing biographies (e.g. from social network profiles).
Outputs
Outputs
A column containing one or more fields of occupation for each bio.
Configuration
The following parameters can be used to configure the behaviour of the step by including them in
a json object as the last “input” to the step, i.e. step(..., {"param": "value", ...}) -> (output).
Parameters
Parameters
This step doesn’t expect any configuration.