text-preprocessing 0.0.2

A python package for text preprocessing task in natural language processing

A python package for text preprocessing task in natural language processing.

Usage

To use this text preprocessing package,

from text_preprocessing import preprocess_text

# Preprocess text using default preprocess functions in the pipeline
text_to_process = 'Helllo, I am John Doe!!! My email is [e-mail]. Visit our website www.johndoe.com'
preprocessed_text = preprocess_text(text_to_process)
print(preprocessed_text)

# Preprocess text using custom preprocess functions in the pipeline
preprocess_functions = [to_lower, remove_email, remove_url, remove_punctuations, lemmatize_word]
preprocessed_text = preprocess_text(text_to_process, preprocess_functions)
print(preprocessed_text)

Features

• convert to lower case

• convert to upper case

• keep only alphabetic and numerical characters

• check and correct spellings

• expand contractions

• remove URL

• remove name

• remove email

• remove phone number

• remove SSN

• remove credit card number

• remove numbers

• remove special characters

• remove punctuations

• remove extra whitespace

• normalize unicode (e.g., Café -> Cafe)

• remove stop words

• substitute custom word (e.g., msft -> Microsoft)

• stem words

• lemmatize words