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        "author_email": "offeilord@gmail.com",
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            "Programming Language :: Python :: 3"
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        "description": "# Textalyzer\nTextalyzer is a lightweight python module or library to help ease analyzing of text or words in a particular sentence and manipulating it.\nTextalyzer analyze repeating words, contracted words or contractions and formatting them properly.\n\n# Class Functions Involved in this module\n  [-] ContractionReplacers <br>\n  [-] RepeatingReplacers\n\n# Usage\n  -Place the file in a folder where you have either read or write and read permisson. Eg. /opinionmining/lib/Textalyzer.py<br/>\n  -Import the module into your application.<br/>\n   <hr/> \n    from opinionmining.lib.Textalyzer import \"Function To Use\" <br>\n    sample = \"I can't wait for the football match\" <br>\n    object = ContractionReplacers() <br>\n    data = object.text_replacers(sample)<br>\n\n# Sample\n  ## Repeating words\n  - Repeating words like helloooooooooooo - textalyzer help format this word by removing the o's to its normal word \"hello\"<br/>\n  - Contractions like I'm - Textalyzer help format this word by converting it to it's normal word \"I am\"\n# Dependencies\n- wordnet \n- Install wordnet by installing nltk\n# PyPI\n- Textalyzer is available at python package index.\n  ## Installation Guide\n    - Download textalyzer using pip<br>\n    - pip install textalyzer<br>\n    - Import textalyzer into your project by using ```from textalyzer import Textalyzer``` depending on the   function you want to use.<br>\n \u00a0 \u00a0- The use ``` replacer = Textalyzer.ContractionReplacers() and repeat = Textalyzer.RepeatingReplacers() ``` <br>\n \u00a0 \u00a0-    ## Or\n    - Simple do ```import textalyzer``` <br>\n    - Then Use ``` data = textalyzer.Textalyzer ``` <br>\n    -   ``` replacer  = data.ContractionReplacers() ``` <br>\n    \n  ## Alternatively\n    - [x] You can download the tarball file from `pypi.python.org/pypi/textalyzer`\n    - [x] Extract the tarball file\n    - [x] Navigate into the extracted folder and install using `python setup.py install`\n    \n  **To Check Whether it's installed**\n  - type  `pip freeze` to display the list of installed packages\n# Why This\n- Textalyzer is mostly used by python programmers who are more involved with Natural Language Processing , Machine Learning, Text Extraction and others.",
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