Sklean tfidf

from sklearn.feature_extraction.text import TfidfVectorizer
corpus = [
    'This is the first document.',
    'This document is the second document.',
    'And this is the third one.',
    'Is this the first document?',
]
vectorizer = TfidfVectorizer()
X = vectorizer.fit_transform(corpus)
print(vectorizer.get_feature_names())

print(X.shape)

Source: scikit-learn.org

Similar codes

7 votes260 views2 answers
No module named 'PyQt5.QtWebEngineWidgets'
Python
34 votes216 views6 answers
Python replace string
Python
4 votes217 views2 answers
Matplotlib axes limits
Python
2 votes202 views1 answer
AlphaTauri
Python
2 votes211 views1 answer
Get local ipv4
Python
33 votes220 views4 answers
Python random password generator
Python
-1 vote209 views1 answer
Turtle write function in turtle package python
Python
1 vote218 views1 answer
Windows alert python
Python
6 votes221 views2 answers
If file exist in folder then delete in python \
Python
12 votes225 views3 answers
Pprint python
Python