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

0 vote341 views1 answer
How to multiply integer value with float values in python
Python
0 vote350 views1 answer
Using python-poppler
Python
0 vote318 views3 answers
Float
Python
1 vote332 views2 answers
Rsplit string from last
Python
0 vote335 views1 answer
Struct trong python
Python
1 vote373 views2 answers
Fibonacci sequence script python
Python
2 votes392 views3 answers
Check if value exists in list python
Python
7 votes389 views2 answers
How to code python
Python
1 vote338 views1 answer
Python create a matrix with one in diagonal
Python
0 vote353 views1 answer
Rotate existing labels python
Python