nlp_primitives.PartOfSpeechCount

class nlp_primitives.PartOfSpeechCount[source]

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__()[source]

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__()

Initialize self.

generate_name(base_feature_names)

generate_names(base_feature_names)

get_args_string()

get_arguments()

get_filepath(filename)

get_function()

Attributes

base_of

base_of_exclude

commutative

dask_compatible

default_value

input_types

max_stack_depth

name

number_output_features

uses_calc_time

uses_full_entity