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)
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