neattext 0.0.1

Neattext - a simple NLP package for cleaning text

neattext

NeatText a simple NLP package for cleaning textual data and text preprocessing

Problem

• Cleaning of unstructured text data
• Reduce noise [special characters,stopwords]
• Reducing repetition of using the same code for text preprocessing

Solution

• convert the already known solution for cleaning text into a reuseable package

Installation

pip install neattext

Usage

Clean Text

• Clean text by removing emails,numbers,stopwords,etc

>>> from neattext 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()
>>> docx.remove_stopwords()

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 neattext import TextExtractor
>>> docx = TextExtractor()
>>> docx.text = "your text with [e-mail] goes here"
>>> docx.extract_emails()

More Features To Add

• unicode explainer
• currency normalizer

By

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

NB

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