take-text-preprocess 0.0.5

Text Preprocesser

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

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)

• EMAIL

from take_text_preprocess.presentation import pre_process
optional_tokenization = ['EMAIL']
sentence = 'Bom dia, meu [e-mail]  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 símbolo %'
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)

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