featuretools.primitives.NumberOfMentions#

class featuretools.primitives.NumberOfMentions[source]#

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', '@@@[email protected][email protected]']
>>> number_of_mentions = NumberOfMentions()
>>> number_of_mentions(x).tolist()
[2.0, 0.0, 0.0]
__init__()[source]#

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

uses_calc_time

uses_full_dataframe