nlp_primitives.
PolarityScore
Calculates the polarity of a text on a scale from -1 (negative) to 1 (positive)
Given a list of strings assign a polarity score from -1 (negative text), to 0 (neutral text), to 1 (positive text). The functions returns a score for every given piece of text. If a string is missing, return ‘NaN’
Examples
>>> x = ['He loves dogs', 'She hates cats', 'There is a dog', ''] >>> polarity_score = PolarityScore() >>> polarity_score(x).tolist() [0.677, -0.649, 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