featuretools.primitives.NumberOfMentions

class featuretools.primitives.NumberOfMentions

Determines the number of mentions in a string.

Description:

Given a list of strings, determine the number of mentions in each string.

A mention is defined as a string that meets the following criteria:

• Starts with a ‘@’ character, followed by a sequence of alphanumeric characters

• Present at the start of a string or after whitespace

• Terminated by the end of the string, a whitespace, or a punctuation character other than ‘@’

  • e.g. The string ‘@yes-no’ contains a valid mention (‘@yes’)

  • e.g. The string ‘@yes@’ does not contain a valid mention

This implementation handles Unicode characters.

This implementation does not impose any character limit on mentions.

If a string is missing, return NaN.

Examples

>>> x = ['@user1 @user2', 'this is a string', '@@@__user1@1and_0@expression']

>>> number_of_mentions = NumberOfMentions()
>>> number_of_mentions(x).tolist()
[2.0, 0.0, 0.0]

__init__()

Methods

__init__()
flatten_nested_input_types(input_types)	Flattens nested column schema inputs into a single list.
generate_name(base_feature_names)
generate_names(base_feature_names)
get_args_string()
get_arguments()
get_description(input_column_descriptions[, ...])
get_filepath(filename)
get_function()
process_text(text)

Attributes

base_of
base_of_exclude
commutative
compatibility	Additional compatible libraries
default_value	Default value this feature returns if no data found.
description_template
input_types	woodwork.ColumnSchema types of inputs
max_stack_depth
name	Name of the primitive
number_output_features	Number of columns in feature matrix associated with this feature
return_type	ColumnSchema type of return
series_library
stack_on
stack_on_exclude
stack_on_self
uses_calc_time
uses_full_dataframe