plane 0.1.4

A lib for text preprocessing

Plane
=====

|Build Status|

| **Plane** is a tool for shaping wood using muscle power to force the cutting blade over the wood surface.
| -- from `Wikipedia <https://en.wikipedia.org/wiki/Plane_(tool)>`_.

.. figure:: https://upload.wikimedia.org/wikipedia/commons/e/e3/Kanna2.gif
:alt: plane(tool) from wikipedia

This package is used for extracting or replacing specific parts from
text, like URL, Email, HTML tags, telephone numbers and so on. Or just
remove all unicode punctuations.

Install
-------

Python **3.x** only.

pip
~~~

.. code:: sh

pip install plane

Install from source
~~~~~~~~~~~~~~~~~~~

.. code:: sh

python setup.py install

Usage
-----

Features
---------

* build-in regex patterns: :class:`plane.pattern.Regex`
* custom regex patterns
* extract, replace patterns
* segment sentence
* chain function calls: :class:`plane.plane.Plane`


Why we need this?
------------------------

In NLP(Natural language processing) task, cleaning text data may be one of the most boring things. `Plane` is built for this.

* extract content from web page source
* detect urls, emails, telephone numbers
* split sentence composed of Chinese and English
* remove all punctuations to get pure text


Usage
---------

Only support Python3.

`extract` and `replace`
~~~~~~~~~~~~~~~~~~~~~~~~~~

::

from plane import EMAIL, extract, replace
text = '[e-mail] & [e-mail]'

emails = extract(text, EMAIL) # this return a generator object
for e in emails:
print(e)

>>> Token(name='Email', value='[e-mail]', start=0, end=11)
>>> Token(name='Email', value='[e-mail]', start=14, end=34)

print(EMAIL)

>>> Regex(name='Email', pattern='([a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\\.[a-zA-Z0-9-]+)', repl='<Email>')

replace(text, EMAIL) # replace(text, Regex, repl), if repl is not provided, Regex.repl will be used

>>> '<Email> & <Email>'

replace(text, EMAIL, '')

>>> ' & '


`segment`
~~~~~~~~~~~~~~~~

`segment` can be used to segment sentence, English and Numbers like 'PS4' will be keeped and others like Chinese '中文' will be split to single word format `['中', '文']`.

::

from plane import segment
segment('你看起来guaiguai的。<EOS>')
>>> ['你', '看', '起', '来', 'guaiguai', '的', '。', '<EOS>']


replace all punctuations
~~~~~~~~~~~~~~~~~~~~~~~~~~~~

`remove_punctuation` will replace all unicode punctuations to `' '` or something you send to this function as paramter `repl`.

**Attention**: '+', '^', '$', '~' and some chars are not punctuation.

::

from plane import remove_punctuation

text = 'Hello world!'
remove_punctuation(text)

>>> 'Hello world '

# replace punctuation with special string
remove_punctuation(text, '<P>')

>>> 'Hello world<P>'


chain function calls
~~~~~~~~~~~~~~~~~~~~~~~~

`Plane` contains `extract`, `replace`, `segment` and `remove_punctuation`, and these methods can be called in chain. Since `segment` returns list, it can only be called in the end of the chain.

`Plane.text` saves the result of processed text and `Plane.values` saves the result of extracted strings.

::

from plane import Plane
from plane.pattern import EMAIL

p = Plane()
p.update('My email is [e-mail].').replace(EMAIL, '').text # update() will init Plane.text and Plane.values

>>> 'My email is .'

p.update('My email is [e-mail].').replace(EMAIL).segment()

>>> ['My', 'email', 'is', '<Email>', '.']

p.update('My email is [e-mail].').extract(EMAIL).values

>>> [Token(name='Email', value='[e-mail]', start=12, end=24)]



.. |Build Status| image:: https://travis-ci.org/Momingcoder/Plane.svg?branch=master
:target: https://travis-ci.org/Momingcoder/Plane