Nlpurify

The version is dedicated towards development and integration of `fuzzy` logic for sequence matching and scoring which
can be used for classification, scoring and identification.

* **v2.0.0.a0** - Due to unplanned developmental changes, the version (`v1+`) is skipped and is maintained internally, while
**`v2+`** is the first proposed version for pblic usage. This version merges and is now assigned `alpha` release tag.
* 💣 Fixes naming convention for the module (15),
* 💣 Remove redundant function `_uniform_text_case()` from the module, and
* 🎉 Include advanced functionality like fuzzy scoring for text classification (14).

The conceptualization phase where the module objective, design patterns, and list of intended features for end-users are
listed. The below versions are minor/micro changes related to the stable release.

is tagged internally as development release.

* 🎉 Added more parametric control for text normalization like scentence case, strip line breaks.
* 🛠️ Code compatibility with existing features to strip line breaks against strip characters commands.
* ⚙️ All the different functionalities (like strip white space, etc.) are now moved under seperate private functions,
this allows more control and easy management.

* 🛠️ Legacy GitHub Gist code is added under submodule `nlpurify.legacy`. For more details and migration techniques,
check [`5`](https://github.com/sharkutilities/NLPurify/issues/5) for more informations.
* 📝 Code documentation is hosted at [RTD/nlpurify](http://nlpurify.readthedocs.io/).
* 🎉 Text normalization, i.e., cleaning of texts of unwanted characters like double space, multiple line breaks can
now be cleaned by using function [normalizeText()](./nlpurify/normalize.py).

* 🎉 Marks as the day when the ideation of the project started, and the name `NLPurify` is registered in PyPI.
* ⚙️ This version is internal and have been deleted, this was released to block the package namespace.

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