Text Preprocesser
Project description
Take Text Pre-Process
This package is a tool for pre-processing a sentence.
The basic functionality available in this packages are:
- Converting to lower case
- Remove non ascii characters
- Add space between punctuation and word
The customize functionality available are:
- Replace URL by a token
- Replace Email by a token
- Replace Numbers by a token
- Replace Code (Number and letters) by a token
- Remove symbols
- Replace abbreviations
- Keep emojis
Installation
The TakeTextPreProcess can be installed from PyPi:
pip install take-text-preprocess
Usage
Basic pre-process
To use the basic pre-process:
from take_text_preprocess.presentation import pre_process
sentence = 'Bom dia, meu ẞ caro'
pre_process(sentence)
Customize pre-process
To use the customize pre-process is needed a input with a list of all pre-process you wanted to use.
The following examples show all the customized pre-processes available.
- URL
from take_text_preprocess.presentation import pre_process
optional_tokenization = ['URL']
sentence = 'Bom dia, meu https://www.take.net caro'
pre_process(sentence, optional_tokenization)
from take_text_preprocess.presentation import pre_process
optional_tokenization = ['EMAIL']
sentence = 'Bom dia, meu teste@gmail.com caro'
pre_process(sentence, optional_tokenization)
- NUMBER
from take_text_preprocess.presentation import pre_process
optional_tokenization = ['NUMBER']
sentence = 'Este é um número 99999-9999'
pre_process(sentence, optional_tokenization)
- CODE
from take_text_preprocess.presentation import pre_process
optional_tokenization = ['CODE']
sentence = 'Este é um código 91234abc'
pre_process(sentence, optional_tokenization)
- SYMBOLS
from take_text_preprocess.presentation import pre_process
optional_tokenization = ['SYMBOL']
sentence = 'Este é um sÃmbolo %'
pre_process(sentence, optional_tokenization)
- ABBREVIATIONS
from take_text_preprocess.presentation import pre_process
optional_tokenization = ['ABBR']
sentence = 'Este é uma abreviação vc'
pre_process(sentence, optional_tokenization)
- EMOJI
from take_text_preprocess.presentation import pre_process
optional_tokenization = ['EMOJI']
sentence = 'Este é um emoji 😀'
pre_process(sentence, optional_tokenization)
Contribute
If this is the first time you are contributing to this project, first create the virtual environment using the following command:
conda env create -f env/environment.yml
Then activate the environment:
conda activate taketextpreprocess
To test your modifications build the package:
pip install dist\take-text-preprocess-VERSION-py3-none-any.whl --force-reinstall
Then run the tests:
pytest
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