nlp_primitives.
PartOfSpeechCount
Calculates the occurences of each different part of speech.
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_name
generate_names(base_feature_names)
generate_names
get_args_string()
get_args_string
get_arguments()
get_arguments
get_description(input_column_descriptions[, …])
get_description
get_filepath(filename)
get_filepath
get_function()
get_function
Attributes
base_of
base_of_exclude
commutative
compatibility
default_value
description_template
input_types
max_stack_depth
name
number_output_features
uses_calc_time
uses_full_entity