from sklearn.feature_extraction.text import CountVectorizer
vectorizer=CountVectorizer()
document1='this is a sunny day';document2= 'today is a very very very pleasant day and we have fun fun fun';document3= 'this is an amazin ex
我一直试图从df中的一列中删除秒词,但我做起来有困难。discografia["SSW"] = [word for word in discografia.CANCIONES if not word in stopwords.words('spanish')]
但在新的专栏中,我只得到了与"CANCIONES“一栏中相同的单词。