cucco 1.1.0

Python library for text normalization

Is that… is that a cucco? Sure it is!

Cucco is here to help you to normalize those nasty texts. Removing extra whitespaces is not that hard, right? What about stop words? They make no good… oh, and don’t even mention emojis!

This little friend will do the hard work for you. Just set it up and let him peck all over your text.

Oh please, shut up and show me where can I grab a cucco!

The easiest way to get a cucco is by using pip:

$ pip install cucco

But sometimes… sometimes you want to go wild and get the biggest… No, the best!… No, THE MIGHTY cucco!

To do so, you may use Git. Clone the repository from Github and do it all the hard way:

$ git clone https://github.com/davidmogar/cucco.git
$ cd cucco
$ python setup.py install

Got it. How do I use it?

Now that you have a cucco, I’ll let him give you all the details.

Cucuco, cuco cuco cucucuco, CUCCO!

—Cucco

So true… so true…[tears falling down my face]. Just allow me to add some details.

The next example code shows how to normalize a short text:

from cucco import Cucco

cucco = Cucco(language='en')
print(cucco.normalize('Who let the cucco out?'))

This would apply all normalizations to the text Who let the cucco out?. The output for this normaliations would be the next one:

cucco

It’s also possible to send a list of normalizations to apply, which will be executed in order.

from cucco import Cucco

cucco = Cucco(language='en')

normalizations = [
    'remove_extra_whitespaces',
    ('replace_punctuation', {'replacement': ' '})
]

print(cucco.normalize('Who    let   the cucco out?', normalizations))

This is the output:

Who let the cucco out

Finally, if you only need to apply one normalization, use one of these methods:

• remove_accent_marks

• remove_extra_whitespaces

• remove_stop_words

• replace_charachters

• replace_emails

• replace_emojis

• replace_hyphens

• replace_punctuation

• replace_symbols

• replace_urls

Supported languages

You never know when a cucco will learn a new trick but. At the moment, they can remove stop words for 50 languages. The complete list can be checked here. If you are looking for the source, you can find it in this GitHub repository, which uses json for the stop words files.

Can I contribute?

Are you a breeder? No? Don’t worry, you can still help.

Maybe you have a good new feature to add. Maybe is not even good. It doesn’t matter! It is always good to share ideas, isn’t it? Just go for it! Pull request are warmly welcome.

Not in the mood of implement it yourself? You can still create an issue and tell about it there. Feedback is always great!