punctuation not being removed correctly using `preprocessing.clean`

[aliforgetti]

This is my code and I was trying to clean a large dataset

full_data['text_pp'] = (
    full_data['text']
    .pipe(hero.preprocessing.clean)
    .pipe(hero.remove_urls)
)

According to the documentation this is the default pipeline for the clean functionality:

Default pipeline:
texthero.preprocessing.fillna()

texthero.preprocessing.lowercase()

texthero.preprocessing.remove_digits()

texthero.preprocessing.remove_punctuation()

texthero.preprocessing.remove_diacritics()

texthero.preprocessing.remove_stopwords()

texthero.preprocessing.remove_whitespace()

But my ouput does not reflect this as some of the punctuation remained in the text.

Original text column

Preprocessed text column

[henrifroese]

Hi, could you paste the actual data you're using? (Just one of the texts would help probably).

For me with the beginning of your first text, the punctuation is removed successfully:

>>> import texthero as hero
>>> import pandas as pd
>>> s = pd.Series(["Honestly people don't know about the fact ..."])
>>> hero.clean(s)
0    honestly people know fact
dtype: object

The issue is probably that some punctuation in your text is not "standard" punctuation (texthero internally uses import string; string.punctuation so if it's not in there it won't be removed

[jbesomi]

Thank you @henrifroese. @aliforgetti do you have any updates?