A Simple Text Cleaning Package For cleaning text during NLP
Project description
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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
textify-0.0.1.tar.gz
(3.4 kB
view details)
Built Distribution
File details
Details for the file textify-0.0.1.tar.gz
.
File metadata
- Download URL: textify-0.0.1.tar.gz
- Upload date:
- Size: 3.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/0.12.17 CPython/3.7.3 Linux/5.0.0-37-generic
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d5d4ddb1a11f8518289066fdedc05926579934205724b4c75acd51e0342cae20 |
|
MD5 | 005d3fde6007946df2fc9e5a6c1038b2 |
|
BLAKE2b-256 | 7075d14a01c53ba91b7e5e9e433ccc25f56e8b42ec0c6fb14bf55e4005e8dc78 |
File details
Details for the file textify-0.0.1-py3-none-any.whl
.
File metadata
- Download URL: textify-0.0.1-py3-none-any.whl
- Upload date:
- Size: 3.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/0.12.17 CPython/3.7.3 Linux/5.0.0-37-generic
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1b6acb61da6a92c5226ad4e2627c3d3219f60863532dcb260bc8c0ef797908cc |
|
MD5 | 6d0f5b52b36d9766f4e815f8ed612c4b |
|
BLAKE2b-256 | 6233f1c107987df5fda1f2f6d28039f0d5dca3e800b60621051aeeaf8a91c8ac |