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- builtins.object
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- SyntacticPatternDensityIndices
class SyntacticPatternDensityIndices(builtins.object) |
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SyntacticPatternDensityIndices(nlp, language: str = 'es', descriptive_indices: text_complexity_analyzer_cm.coh_metrix_indices.descriptive_indices.DescriptiveIndices = None) -> None
This class will handle all operations to find the synthactic pattern density indices of a text according to Coh-Metrix.
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Methods defined here:
- __init__(self, nlp, language: str = 'es', descriptive_indices: text_complexity_analyzer_cm.coh_metrix_indices.descriptive_indices.DescriptiveIndices = None) -> None
- The constructor will initialize this object that calculates the synthactic pattern density indices for a specific language of those that are available.
Parameters:
nlp: The spacy model that corresponds to a language.
language(str): The language that the texts to process will have.
descriptive_indices(DescriptiveIndices): The class that calculates the descriptive indices of a text in a certain language.
Returns:
None.
- get_negation_expressions_density(self, text: str, word_count: int = None, workers: int = -1) -> int
- This function obtains the incidence of negation expressions that exist on a text per {self._incidence} words.
Parameters:
text(str): The text to be analized.
word_count(int): The amount of words in the text.
workers(int): Amount of threads that will complete this operation. If it's -1 then all cpu cores will be used.
Returns:
int: The incidence of negation expressions per {self._incidence} words.
- get_noun_phrase_density(self, text: str, word_count: int = None, workers: int = -1) -> int
- This function obtains the incidence of noun phrases that exist on a text per {self._incidence} words.
Parameters:
text(str): The text to be analized.
word_count(int): The amount of words in the text.
workers(int): Amount of threads that will complete this operation. If it's -1 then all cpu cores will be used.
Returns:
int: The incidence of noun phrases per {self._incidence} words.
- get_verb_phrase_density(self, text: str, word_count: int = None, workers: int = -1) -> int
- This function obtains the incidence of verb phrases that exist on a text per {self._incidence} words.
Parameters:
text(str): The text to be analized.
word_count(int): The amount of words in the text.
workers(int): Amount of threads that will complete this operation. If it's -1 then all cpu cores will be used.
Returns:
int: The incidence of verb phrases per {self._incidence} words.
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
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