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__()

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