semvec/pypi-packages huggingface dataset:
py-textdataclean 0.0.1
Text Data Cleaning
Requires Python: >=3
Keywords: "text data clean"

## Project Description

 - This package cleans the text data such as removal of HTML tags, URLs, NLTK Stopwords, numbers, punctuations.
 
### Features
 - Remove URLs
 - Remove HTML Tags
 - Remove NLTK Stopwords
 - Remove Numbers
 - Remove Punctuations
 - Remove Additional Spaces
 - Changes to Lower Case
 
### Installation
 - In the code notebook like IPYNB use the below command\
   ```
   !pip install py_textdataclean
   ```
 
 
 - If installing from Anaconda Prompt of CMD Terminal, use the below command\
   ```
   pip install py_textdataclean
   ```
   
### Usage

#### Input:
 - List of text data - Example: ["Is the   time 12 Noon now, isn't it?", "It is a python link: https://pypi.org/"]
 
#### Output:
 - ['time noon', 'python link org']
 
#### Code to clean text with a single function:
  ```
 from py_textdataclean import textclean as tc
 input_text_list = ["Is the   time 12 Noon now, isn't it?", "It is a python link: https://pypi.org/"]
 result = tc.text_clean(data=input_text_list)
 Output: ['time noon', 'python link org']
 ```