@@ -13,15 +13,15 @@ This class provides methods for the calculation of different metrics on text. It
...
@@ -13,15 +13,15 @@ This class provides methods for the calculation of different metrics on text. It
In this section, we introduce the different metrics offered in this Python library for different languages (Spanish, English).
In this section, we introduce the different metrics offered in this Python library for different languages (Spanish, English).
***Volumetry**: here it calculates the number of words, number of unique words, number of characters and average word length for text. Then it is calculated volumetrics for each category.
***Volumetry**: here it calculates the number of words, number of unique words, number of characters and average word length for text. Then it is calculated volumetrics for each category.
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***Lemmas**: Number and length of different lemmas per text. Average and variance of different lemmas and length by category. Most frequent lemmas by category.
***Lemmas**: Number and length of different lemmas per text. Average and variance of different lemmas and length by category. Most frequent lemmas by category.
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***Part-of-speech (POS) **:POS analysis for each text. POS analysis for each category. Most frequent words by POS.
***Part-of-speech(POS)**:POS analysis for each text. POS analysis for each category. Most frequent words by POS.
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***Lexical_diversity**: Lexical diversity for each text (simple_TTR, root_TTR, log_TTR, maas_TTR, MSTTR, MATTR, HDD, MTLD). Lexical diversity for each category.
***Lexical_diversity**: Lexical diversity for each text (simple_TTR, root_TTR, log_TTR, maas_TTR, MSTTR, MATTR, HDD, MTLD). Lexical diversity for each category.
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***Complexity**:Complexity diversity for each category. Complexity diversity for each category.
***Complexity**:Complexity diversity for each category. Complexity diversity for each category.
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***FeatureSelection**: Remove features with low variance and SelectFromModel (Selection of functions based on L1)
***FeatureSelection**: Remove features with low variance and SelectFromModel (Selection of functions based on L1)
