nlp_primitives.StopwordCount#

class nlp_primitives.StopwordCount[source]#

Determines number of stopwords in a string.

Description:

Given list of strings, determine the number of stopwords characters in each string. Looks for any of the English stopwords defined in nltk.corpus.stopwords. Case insensitive.

If a string is missing, return NaN.

Examples

>>> x = ['This is a test string.', 'This is second string', 'third string']
>>> stopword_count = StopwordCount()
>>> stopword_count(x).tolist()
[3, 2, 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()

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