nlp_primitives.PolarityScore¶
- class nlp_primitives.PolarityScore[source]¶
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__()¶
Methods
__init__
()generate_name
(base_feature_names)generate_names
(base_feature_names)get_args_string
()get_arguments
()get_description
(input_column_descriptions[, ...])get_filepath
(filename)get_function
()Attributes
base_of
base_of_exclude
commutative
compatibility
Additional compatible libraries
default_value
Default value this feature returns if no data found.
description_template
input_types
woodwork.ColumnSchema types of inputs
max_stack_depth
name
Name of the primitive
number_output_features
Number of columns in feature matrix associated with this feature
return_type
ColumnSchema type of return
uses_calc_time
uses_full_dataframe