Fast text processing
Project description
# reTexto
Fast text processing for python
### Run
cd /[project_path]
docker build -t retexto .
docker run -v $(pwd):/retexto:rw -it retexto bash
### Test
invoke test
### Work in
docker run -v $(pwd):/retexto:rw -it retexto bash
invoke test
### Publish
invoke publishTest ..... all ok?
invoke publish
## Basic Use
if __name__ == '__main__':
s = '@Edux87, i need this www.google.com | https://github.com <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() \
.split_words(uniques=True)
print(s)
['username', 'from', 'love', 'i', 'ned', 'funy', 'juana', 'vo', 'this', 'si', 'im', 'se', 'peru', 'smile', 'so', 'smiling', 'carlos']
Fast text processing for python
### Run
cd /[project_path]
docker build -t retexto .
docker run -v $(pwd):/retexto:rw -it retexto bash
### Test
invoke test
### Work in
docker run -v $(pwd):/retexto:rw -it retexto bash
invoke test
### Publish
invoke publishTest ..... all ok?
invoke publish
## Basic Use
if __name__ == '__main__':
s = '@Edux87, i need this www.google.com | https://github.com <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() \
.split_words(uniques=True)
print(s)
['username', 'from', 'love', 'i', 'ned', 'funy', 'juana', 'vo', 'this', 'si', 'im', 'se', 'peru', 'smile', 'so', 'smiling', 'carlos']
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