textalyzer 0.2.0

A text analyzer for repeating and contraction characters

Textalyzer

Textalyzer is a lightweight python module or library to help ease analyzing of text or words in a particular sentence and manipulating it. Textalyzer analyzes repeating words and contracted words or contractions.

Class Functions Involved in this module

[-] ContractionReplacers
[-] RepeatingReplacers

Usage

-Place the file in a folder where you have either read or write and read permisson. Eg. /opinionmining/lib/Textalyzer.py
-Import the module into your application.

---

from opinionmining.lib.Textalyzer import "Function To Use"
sample = "I can't wait for the football match"
object = ContractionReplacers()
data = object.text_replacers(sample)

Sample

Repeating words

• Repeating words like helloooooooooooo - textalyzer help format this word by removing the o's to its normal word "hello"
  
• Contractions like I'm - Textalyzer help format this word by converting it to it's normal word "I am"

Dependencies

• nltk
• Download the WordNet corpus before using RepeatingReplacers: python -m nltk.downloader wordnet

PyPI

• Textalyzer is available at python package index.

  Installation Guide

  • Download textalyzer using pip
    
  • pip install textalyzer
    
  • Import textalyzer into your project by using from textalyzer import Textalyzer depending on the function you want to use.
    
  • Then use replacer = Textalyzer.ContractionReplacers() and repeat = Textalyzer.RepeatingReplacers()
       - ## Or
  • Simple do import textalyzer
    
  • Then Use data = textalyzer.Textalyzer
    
  • replacer = data.ContractionReplacers()
    

  Alternatively

  • You can download the tarball file from pypi.python.org/pypi/textalyzer
  • Extract the tarball file
  • Navigate into the extracted folder and install using python setup.py install

  To Check Whether it's installed

  • type pip freeze to display the list of installed packages

Why This

• Textalyzer is mostly used by python programmers who are more involved with Natural Language Processing , Machine Learning, Text Extraction and others.