py-text-data-clean 0.0.5

Text Data Cleaning

• 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-text-data-clean
  

• If installing from Anaconda Prompt of CMD Terminal, use the below command\

  pip install py-text-data-clean
  

• Note:

 Check if the package version is upgraded. If the version is not upgraded, please upgrade it.

 # To check the version, run the below code
 !pip show py-text-data-clean

 # To upgrade the package, run the below code
 !pip install py-text-data-clean -U

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']

Code to clean text with a single function:

# Import the library
from pytextdataclean 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)
print(result)

Code to use each available features:

# Pass the list of text

# Example list:
input_text_list = ["Is the   time 12 Noon now, isn't it?", "It is a python link: https://pypi.org/"]

# Import the library
from pytextdataclean import textclean as tc

# To remove html tags
tc.remove_html_tags(data=input_text_list)

# To remove NLTK stop words
tc.remove_nltk_stopwords(data=input_text_list)

# To remove URLs
tc.remove_url(data=input_text_list)

# To remove punctuations
tc.remove_punctuation(data=input_text_list)

# To remove numerical digits
tc.remove_digits(data=input_text_list)

# To remove foreign languages
tc.remove_foreign_languages(data=input_text_list)

# To remove spaces
tc.remove_spaces(data=input_text_list)