nlp_primitives.PolarityScore

class nlp_primitives.PolarityScore

Calculates the polarity of a text on a scale from -1 (negative) to 1 (positive)

Description:

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)

get_args_string()

get_arguments()

get_filepath(filename)

get_function()

Attributes

base_of

base_of_exclude

commutative

default_value

input_types

max_stack_depth

name

number_output_features

uses_calc_time

uses_full_entity