Currently, I have a CountVectorizer function
CountVectorizer(stop_words=stopwords.words('spanish'),token_pattern=r'(?u)\b\w\w+\b')
with token_pattern by default used by Sklearn, and I have some results on get_features_names as follows:
000,02,10,100,1080,11,14,17,19,1994,1ª,2015,2017,22,24horas,2t0s6dgxnm,30,31,32,_aitor,_anamilan_,_cuteresa,_raquel97_
I would like to remove numbers and _ symbol. I know that to do this i must to modify the regex function by default: r'(?u)\b\w\w+\b'
so, Any suggestions?
Thanks.
UPDATE:
Good words: abrazo, aburrir, extrañar, además
Bad words: anamilan,000,02,10,100,1080
I would like to add ñ,á,é,í,ó,ú, I tried with [á-ú_ñ]+
but it doesn't work.
This pattern should match all the digits and _.
[\d_]