cleantxt 0.0.7

cleaning text from noise for nlp tasks

cleantxt

cleaning text from noise for nlp tasks

installation

with pip

pip install cleantxt

install from source

git clone https://github.com/jemiaymen/cleantxt.git

go to the cleantxt directory

cd cleantxt

install with pip

pip install .

cli usage

cleantxt --doc=[path_to_doc] --out=[path_out_file] --f=[0] --t=[100] --do_lower=True --white_space=True --punctuation=True --duplicated_chars=True --alpha_num=True --accent=True --escape key,value ə,a œ,oe

check example

api usage

import text module

from cleantxt import text

clean text

txt = text.clean_text('mella 7ayawaaanéé hadddddda mta3@@@@@ @tfih')

print the result

mella 7ayawane hada mta3 tfih

params

text : -> (str) raw text

whitespace : -> (boolean) escape spaces [default True ]

punctuation : -> (boolean) escape punctuation [default True ]

duplicated : -> (boolean) escape duplicated chars [default True ]

alphanum : -> (boolean) escape non alpha numeric chars [default True ]

accent : -> (boolean) escape accent [default True ]

do_lower : -> (boolean) lower case text [default True ]

others : -> ( list( tuple() ) ) escape rules [ default [('ə', 'a')] ]

new function

word count

wc => (word count) params (path :str, unique=False, both=False)

from cleartxt import text print( text.wc('file.txt',both=True) )

(51515,5547)

output tuple (all words , unique words)

word frequency

word_frequency => params (path : str, top=100)

from cleartxt import text print( text.word_frequency('file.txt') )

[('\n', 54898), ('', 48757), ('w', 27717), ('el', 16679), ('fi', 9399), ('ya', 8611)]

output list of tuples (word , frequency)