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A package to clean the raw text

Project description

cleantext

cleantext is a an open-source python library to clean raw text data. Source code for the library can be found here.

Features

cleantext has two main methods,

  • clean: to clean raw text and return the cleaned text
  • clean_words: to clean raw text and return a list of clean words

cleantext can apply all, or a selected combination of the following cleaning operations:

  • Remove extra white spaces
  • Convert the entire text into a uniform lowercase
  • Remove digits from the text
  • Remove punctuations from the text
  • Remove stop words, and choose a language for stop words ( Stop words are generally the most common words in a language with no significant meaning such as is, am, the, this, are etc.)
  • Stem the words (Stemming is a process of converting words with similar meaning into a single word. For example, stemming of words run, runs, running will result run, run, run)

Installation

cleantext requires Python 3 and NLTK to execute.

To install using pip, use

pip install cleantext

Usage

  • Import the library:
import cleantext
  • Choose a method:

To return the text in a string format,

cleantext.clean("your_raw_text_here", all= True) 

To return a list of words from the text,

cleantext.clean_words("your_raw_text_here", all= True) 

To choose a specific set of cleaning operations,

cleantext.clean_words("your_raw_text_here", extra_spaces=True   # Remove extra white space, stemming=True  # Stem the words, stopwords=True # Remove stop words, lowercase=True # Convert to lowercase, numbers=True # Remove all digits, punct=True # Remove all punctuations, stp_lang='english'  # Language for stop words)

Examples

import cleantext
cleantext.clean('This is A s$ample !!!! tExt3% to   cleaN566556+2+59*/133', extra_spaces=True, lowercase=True, numbers=True, punct=True)

returns,

'this is a sample text to clean'

import cleantext
cleantext.clean_words('This is A s$ample !!!! tExt3% to   cleaN566556+2+59*/133', all=True)

returns,

['sampl', 'text', 'clean']

License

MIT

For any questions, issues, bugs, and suggestions please visit here

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