textify

A Simple Text Cleaning and Normalization Package For NLP

Installation

pip install textify

Usage

Clean Text

• Clean text by removing emails,numbers,etc

>>> from textify import TextCleaner
>>> docx = TextCleaner()
>>> docx.text = "your text goes here"
>>> docx.clean_text()

Remove Emails,Numbers,Phone Numbers

>>> docx.remove_emails()
>>> docx.remove_numbers()
>>> docx.remove_phone_numbers()

Remove Special Characters

>>> docx.remove_special_characters()

Replace Emails,Numbers,Phone Numbers

>>> docx.replace_emails()
>>> docx.replace_numbers()
>>> docx.replace_phone_numbers()

Using TextExtractor

• To Extract emails,phone numbers,numbers from text

>>> from textify import TextExtractor
>>> docx = TextExtractor()
>>> docx.text = "your text with example@gmail.com goes here"
>>> docx.extract_emails()

By

• Jesse E.Agbe(JCharis)
• Jesus Saves @JCharisTech

NB

• Contributions Are Welcomed
• Notice a bug, please let us know.
• Thanks A lot