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Python 2021-11-09 13:31:24
implements both tokenization and occurrence
# implements both tokenization and occurrence from sklearn.feature_extraction.text import CountVectorizer vectorizer = CountVectorizer() vectorizer # CountVectorizer() corpus = [ 'This is the first document.', 'This is the second second document.',... Add solution -
Python 2021-10-24 18:59:12
machine earning to predict sentimentanalysis python
>>> from sklearn.feature_extraction.text import CountVectorizer>>> vectorizer = CountVectorizer(tokenizer = spacy_tokenizer, ngram_range=(1,1))>>> #By default, the vectorizer might be created as follows:>>> #vectorizer ... Add solution -
Other 2021-10-13 14:41:07
countvectorizer in nlp
from sklearn.datasets import fetch_20newsgroupsfrom sklearn.feature_extraction.text import CountVectorizerimport numpy as np# Create our vectorizervectorizer = CountVectorizer()# Let's fetch all the possible text datanewsgroups_data = fetch_20newsgroups()... Add solution