nlp_primitives.PartOfSpeechCount

class nlp_primitives.PartOfSpeechCount

Calculates the occurences of each different part of speech.

Description:

Given a list of strings, categorize each word in the string as a different part of speech, and return the total count for each of 15 different categories of speech.

If a string is missing, return NaN.

Examples

>>> x = ['He was eating cheese', '']
>>> part_of_speech_count = PartOfSpeechCount()
>>> part_of_speech_count(x).tolist()
[[0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.0, 0.0], [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()

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
uses_calc_time
uses_full_dataframe

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