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Fast text processing

Project description

Fast text processing for python


cd /[project_path] docker build -t retexto . docker run -v $(pwd):/retexto:rw -it retexto bash

Basic Use

if __name__ == '__main__':
s = '@Edux87, i need this | <br> \
<strong>UserName: çarlos </strong> \
i\'m from Perú 😛 \
#Friends #Text jajajajaja so fffunny  \
loooveee thiiis 😌😎 \
@florenciaflor19 Si!!! sé vo… 🐷JUANA🐷 \
smile! haha jejeje jojojo jujuju jijijijajaja 😂'
text = ReTexto(s)

s = text.remove_html() \
    .remove_mentions() \
    .remove_tags() \
    .remove_smiles(by='SMILING') \
    .convert_specials() \
    .convert_emoji() \
    .remove_nochars(preserve_tilde=True) \
    .remove_url() \
    .remove_duplicate(r='a-jp-z') \
    .remove_duplicate_vowels() \
    .remove_duplicate_consonants() \
    .remove_punctuation() \
    .remove_multispaces() \
    .lower() \
    .remove_stopwords() \
['username', 'from', 'love', 'i', 'ned', 'funy', 'juana', 'vo', 'this', 'si', 'im', 'se', 'peru', 'smile', 'so', 'smiling', 'carlos']

Project details

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retexto-1.6.1.tar.gz (26.0 kB view hashes)

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retexto-1.6.1-py2.py3-none-any.whl (50.7 kB view hashes)

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